Proteins in human saliva make up its proteome and may be the key to new, precision medicine diagnostics that would give clinical pathologists new capabilities to identify disease
Clinical pathologists may soon have an array of new precision medicine diagnostic tools based on peoples’ saliva. There are an increasing number of “–omes” that can be the source of useful diagnostic biomarkers for developing clinical laboratory tests. The latest is the world’s first saliva protein biome wiki.
Called the Human Salivary Proteome Wiki (HSP Wiki), the “public data platform,” which was created by researchers at the University of Buffalo, is the “first of its kind,” according to Labroots, and “contains data on the many thousands of proteins present in saliva.”
The HSP Wiki brings together data from independent studies on proteins present in human saliva. One of the researchers’ goals is to speed up the development of saliva-based diagnostics and personalized medicine tools.
In “The Human Salivary Proteome Wiki: A Community-Driven Research Platform,” published in the Journal of Dental Research, the researchers wrote, “Saliva has become an attractive body fluid for on-site, remote, and real-time monitoring of oral and systemic health. At the same time, the scientific community needs a saliva-centered information platform that keeps pace with the rapid accumulation of new data and knowledge by annotating, refining, and updating the salivary proteome catalog.
“We developed the Human Salivary Proteome (HSP) Wiki as a public data platform for researching and retrieving custom-curated data and knowledge on the saliva proteome. … The HSP Wiki will pave the way for harnessing the full potential of the salivary proteome for diagnosis, risk prediction, therapy of oral and systemic diseases, and preparedness for emerging infectious diseases,” they concluded.
“This community-based data and knowledge base will pave the way to harness the full potential of the salivary proteome for diagnosis, risk prediction, and therapy for oral and systemic diseases, and increase preparedness for future emerging diseases and pandemics,” Stefan Ruhl, DDS, PhD (above right, with Omer Gokcumen, PhD, Associate Professor of Biological Sciences on left), Professor, Department of Oral Biology, University of Buffalo, and lead researcher of the study, told Labroots. Development of precision medicine clinical laboratory diagnostics is part of their research goals. (Photo copyright: University of Buffalo.)
Where Does Saliva Come From?
Saliva is a complex biological fluid that has long been linked to oral health and the health of the upper gastrointestinal tract. Only recently, though, have scientists begun to understand from where in the body saliva proteins originate.
The authors wrote: “Salivary proteins are essential for maintaining health in the oral cavity and proximal digestive tract, and they serve as potential diagnostic markers for monitoring human health and disease. However, their precise organ origins remain unclear.
“Through transcriptomic analysis of major adult and fetal salivary glands and integration with the saliva proteome, the blood plasma proteome, and transcriptomes of 28+ organs, we link human saliva proteins to their source, identify salivary-gland-specific genes, and uncover fetal- and adult-specific gene repertoires,” they added.
“Our results pave the way for future investigations into glandular biology and pathology, as well as saliva’s use as a diagnostic fluid,” the researchers concluded.
Saliva plays a crucial role in digestion by breaking down starches. It also provides a protective barrier in the mouth. When salivary glands malfunction, patients can face serious health consequences. Although clinicians and scientists have long understood the importance of saliva to good health, the question now is whether it contains markers of specific diseases.
“The Human Salivary Proteome Wiki contains proteomic, genomic, transcriptomic data, as well as data on the glycome, sugar molecules present on salivary glycoproteins. New data goes through an interdisciplinary team of curators, which ensures that all input data is accurate and scientifically sound,” noted Labroots.
The graphic above “shows the interconnectedness of the thousands of salivary proteins originating from blood plasma, parotid glands, and submandibular and sublingual glands. The diagram is one of many tools available to researchers and clinicians through the Human Salivary Proteome Wiki,” noted a UBNow blog post. (Graphic copyright: University of Buffalo.)
Omics and Their Role in Clinical Laboratory Diagnostics
Proteomics is just one of several hotly-researched -omics that hold the potential to develop into important personalized medicine and diagnostics tools for pathologists. Genomics is a related area of research being studied for its potential to benefit precision medicine diagnostics.
However, unlike genomes, which do not change, proteomes change constantly. That is one of the main reasons studying the human salivary proteome could lead to valuable diagnostics tools.
Combining the study of the -omes with tools like mass spectrometry, a new era of pathology may be evolving. “With the rapid decrease in the costs of omics technologies over the past few years, whole-proteome profiling from tissue slides has become more accessible to diagnostic labs as a means of characterization of global protein expression patterns to evaluate the pathophysiology of diseases,” noted Pathology News.
Saliva and the Age of Precision Medicine
The study of the -omes may be an important element in the evolution of precision medicine, because of its ability to provide information about what is happening in patients’ bodies at the point of care.
Thus, a full understanding of the proteome of saliva and what causes it to change in response to different health conditions and diseases could open the door to an entirely new branch of diagnostics and laboratory medicine. It is easy and non-invasive to gather and, given that saliva contains so much information, it offers an avenue of study that may improve patients’ lives.
It also would bring us closer to the age of precision medicine where clinical laboratory scientists and pathologists can contribute even more value to referring physicians and their patients.
Skin patch technologies could enable clinical laboratories to monitor patients’ vitals and report to medical professionals in real time
Pathologists and clinical laboratory leaders have read many Dark Daily ebriefings on the development of skin patches over the years that do everything from monitoring fatigue in the military to being a complete lab-on-skin technology. Now, researchers at the University of California San Diego (UCSD) have developed a wearable patch that can monitor cardiovascular signals and other various biochemical levels in the body simultaneously.
The researchers believe there is enormous potential for such a patch in helping patients monitor conditions such as hypertension or diabetes. They also foresee a scenario where the patch could be used in settings where vitals must be constantly monitored. They hope to develop future versions of the patch that can detect more biomarkers within the body.
“This type of wearable would be very helpful for people with underlying medical conditions to monitor their own health on a regular basis,” Lu Yin, a PhD student and co-first author of the study, told New Atlas. “It would also serve as a great tool for remote patient monitoring, especially during the COVID-19 pandemic when people are minimizing in-person visits to the clinic,” she added.
Combining Precision Medicine with Telehealth and the Internet of Things
About the size of a postage stamp and consisting of stretchy polymers that conform to the skin, the UCSD patch monitors blood pressure and contains sensors that measure different biochemical levels in the body, such as:
The sensors are carefully arranged on the patch to eliminate interference between the signals, noted a UCSD press release.
In their published research, the UCSD researchers wrote of their new skin patch monitoring device, “Intertwined with concepts of telehealth, the internet of medical things, and precision medicine, wearable sensors offer features to actively and remotely monitor physiological parameters. Wearable sensors can generate data continuously without causing any discomfort or interruptions to daily activity, thus enhancing the self-monitoring compliance of the wearer, and improving the quality of patient care.” (Photo copyright: University of California San Diego.)
“Each sensor provides a separate picture of a physical or chemical change. Integrating them all in one wearable patch allows us to stitch those different pictures together to get a more comprehensive overview of what’s going on in our bodies,” said Sheng Xu, PhD, Principle Investigator, Xu Research Group at UCSD, Assistant Professor in the Department of NanoEngineering Department, and a co-first author of the study, in the press release.
The UCSD researchers developed their skin patch to monitor specific biomarkers that can affect blood pressure.
“Let’s say you are monitoring your blood pressure and you see spikes during the day and think that something is wrong,” co-first author Juliane Sempionatto, PhD, a postdoctoral researcher at California Institute of Technology (Caltech) and co-first author of the study, told New Atlas. “But a biomarker reading could tell you if those spikes were due to an intake of alcohol or caffeine. This combination of sensors can give you that type of information,” she added.
The blood pressure sensor sits near the center of the patch and consists of a set of small transducers welded to the patch via a conductive link. Voltage applied to the transducers send ultrasound waves through the body which bounce off arteries and create echoes that are detected by the sensor and converted into an accurate blood pressure reading.
The chemical sensor releases the drug pilocarpine into the skin to induce sweat and then measures the chemicals contained in the sweat to provide readings of certain biochemical levels.
The glucose sensor located in the patch emits a mild electrical current to the body that stimulates the release of interstitial fluid and then reads the glucose level in that fluid.
“The novelty here is that we take completely different sensors and merge them together on a single small platform as small as a stamp,” Joseph Wang, D.Sc, SAIC Endowed Chair, Distinguished Professor of NanoEngineering, Director of the Center for Wearable Sensors at UCSD, and co-author of the study told New Atlas. “We can collect so much information with this one wearable and do so in a non-invasive way, without causing discomfort or interruptions to daily activity.” (Photo copyright: University of Southern California San Diego.)
Skin Patch Measurements Closely Match Those of Traditional Devices
Test subjects wore the patch on their neck while performing various combinations of the following tasks:
exercising on a stationary bicycle,
eating a high-sugar meal,
drinking an alcoholic beverage, and
drinking a caffeinated beverage.
The results of the measurements taken from the patch closely matched measurements collected by traditional monitoring devices such as a:
For now, the patch must be connected to an external power source which transmits the reading to a counter-top machine, but the researchers hope to create a wireless version in the future.
“There are opportunities to monitor other biomarkers associated with various diseases,” Sempionatto said in the UCSD press release. “We are looking to add more clinical value to this device.”
Other Similar Skin Patch Monitoring Technologies
Though an important breakthrough, the UCSD’s device is not the first skin patch monitor to be developed.
Multiple research and clinical studies are underway that hope to prove the accuracy and safety of wearable devices at detecting and monitoring certain health conditions. It’s a worthy goal.
Skin patches, such as the one created at UCSD, could enable clinical laboratories to provide value-added service to medical professionals and patients alike. Medical labs could potentially monitor skin patch readings in real-time and notify physicians and patients of changes in biomarkers that require attention.
Further, as this technology is developed, it will likely find a ready market with the latest generation of consumers who are more willing than previous generations to buy their own diagnostic tests for home use. These “next-generation” healthcare consumers have demonstrated their willingness to use Apple watches, Fitbits, and similar wearable devices to monitor their condition during exercise and other health metrics.
Pathologists and clinical laboratory managers should not overlook the potential for robust consumer demand to accelerate development and market adoption of such skin patches.
Unlike most other CRISPR/Cas-9 therapies that are ex vivo treatments in which cells are modified outside the body, this study was successful with an in vivo treatment
Use of CRISPR-Cas9 gene editing technology for therapeutic purposes can be a boon for clinical laboratories. Not only is this application a step forward in the march toward precision medicine, but it can give clinical labs the essential role of sequencing a patient’s DNA to help the referring physician identify how CRISPR-Cas9 can be used to edit the patient’s DNA to treat specific health conditions.
Most pathologists and medical lab managers know that CRISPR-Cas9 gene editing technology has been touted as one of the most significant advances in the development of therapies for inherited genetic diseases and other conditions. Now, a pair of biotech companies have announced a milestone for CRISPR-Cas9 with early clinical data involving a treatment delivered intravenously (in vivo).
As with other therapies, determining which patients are suitable candidates for specific treatments is key to the therapy’s success. Therefore, clinical laboratories will play a critical role in identifying those patients who would most likely benefit from a CRISPR-delivered therapy.
Such is the goal of precision medicine. As methods are refined that can correct unwelcome genetic mutations in a patient, the need to do genetic testing to identify and diagnose whether a patient has a specific gene mutation associated with a specific disease will increase.
Cleveland Clinic describes ATTR amyloidosis as a “protein misfolding disorder” involving transthyretin (TTR), a protein made in the liver. The disease leads to deposits of the protein in the heart, nerves, or other organs.
According to Intellia and Regeneron, NTLA-2001 is designed to inactivate the gene that produces the protein.
The interim clinical trial data indicated that one 0.3 mg per kilogram dose of the therapy reduced serum TTR by an average of 87% at day 28. A smaller dose of 0.1 mg per kilogram reduced TTR by an average of 52%. The researchers reported “few adverse events” in the six study patients, “and those that did occur were mild in grade.”
Current treatments, the companies stated, must be administered regularly and typically reduce TTR by about 80%.
“These are the first ever clinical data suggesting that we can precisely edit target cells within the body to treat genetic disease with a single intravenous infusion of CRISPR,” said Intellia President and CEO John Leonard, MD, in a press release. “The interim results support our belief that NTLA-2001 has the potential to halt and reverse the devastating complications of ATTR amyloidosis with a single dose.”
He added that “solving the challenge of targeted delivery of CRISPR-Cas9 to the liver, as we have with NTLA-2001, also unlocks the door to treating a wide array of other genetic diseases with our modular platform, and we intend to move quickly to advance and expand our pipeline.”
“It’s an important moment for the field,” MIT biomedical engineer Daniel Anderson, PhD (above), told Nature. Anderson is Professor, Chemical Engineering and Institute for Medical Engineering and Science at the Koch Institute for Integrative Cancer Research at MIT. “It’s a whole new era of medicine,” he added. Advances in the use of CRISPR-Cas9 for therapeutic purposes will create the need for clinical laboratories to sequence patients’ DNA to help physicians determine the best uses for a CRISPR-Cas9 treatment protocol. (Photo copyright: Massachusetts Institute of Technology.)
In Part 2 of the Phase 1 trial, Intellia plans to evaluate the new therapy at higher doses. After the trial is complete, “the company plans to move to pivotal studies for both polyneuropathy and cardiomyopathy manifestations of ATTR amyloidosis,” the press release states.
Previous clinical trials reported results for ex vivo treatments in which cells were removed from the body, modified with CRISPR-Cas9 techniques, and then reinfused. “But to be able to edit genes directly in the body would open the door to treating a wider range of diseases,” Nature reported.
How CRISPR-Cas9 Works
On its website, CRISPR Therapeutics, a company co-founded by Emmanuelle Charpentier, PhD, a director at the Max Planck Institute for Infection Biology in Berlin, and inventor of CRISPR-Cas9 gene editing, explained that the technology “edits genes by precisely cutting DNA and then letting natural DNA repair processes take over.” It can remove fragments of DNA responsible for causing diseases, as well as repairing damaged genes or inserting new ones.
The therapies have two components: Cas9, an enzyme that cuts the DNA, and Guide RNA (gRNA), which specifies where the DNA should be cut.
Charpentier and biochemist Jennifer Doudna, PhD, Nobel Laureate, Professor of Chemistry, Professor of Biochemistry and Molecular Biology, and Li Ka Shing Chancellor’s Professor in Biomedical and Health at the University of California Berkeley, received the 2020 Nobel Prize in Chemistry for their work on CRISPR-Cas9, STAT reported.
It is important to pathologists and medical laboratory managers to understand that multiple technologies are being advanced and improved at a remarkable pace. That includes the technologies of next-generation sequencing, use of gene-editing tools like CRISPR-Cas9, and advances in artificial intelligence, machine learning, and neural networks.
At some future point, it can be expected that these technologies will be combined and integrated in a way that allows clinical laboratories to make very early and accurate diagnoses of many health conditions.
Service uses ‘hub-and-spoke’ routing model to provide rapid delivery of time-and-temperature-sensitive clinical laboratory specimens and supplies
Drone delivery service in healthcare is beginning to take flight both here and abroad, with California-based Matternet launching medical drone delivery networks in Winston-Salem, North Carolina, and Berlin, Germany.
The successful use of unmanned aircraft to deliver patient specimens has major implications for clinical laboratories. When conditions allow them to fly, drones can significantly shorten delivery times of routine patient specimens such as blood and urine.
The drones will fly two routes and carry scheduled deliveries of specialty infusion medicines and personal protective equipment (PPE). Because infusion medicines are patient-specific, high cost, and have a short shelf life, delivery by drone within 10 minutes is an ideal solution, Matternet said in the news release. Individually compounded medicines also will be delivered on-demand for dispensing to patients who need real-time access to treatments.
“This partnership with UPSFF aligns strategically with our mission to improve the health of those in the communities that we serve as well as our Virtual Health sector in iQ Healthtech Labs,” said Jane Shen, PharmD (above), Chief Strategy Officer at the Wake Forest Institute for Regenerative Medicine, and Head of Sector Development for Innovation Quarter, a subsidiary of iQ Healthtech Labs, in the IQ Healthtech Labs news release. “We seek to leverage technology advances to make access to healthcare easier and more effective. Collaborating in innovative ways with a key logistics partner like UPS allows Wake Forest Baptist to deliver care in better and more efficient ways to patients and their families.” (Photo copyright: Triad Business Journal.)
Matternet has been operating in the US since August 2018. In, “WakeMed Uses Drone to Deliver Patient Specimens,” Dark Daily’s sister publication, The Dark Report, reported how—following a two-year trial period using a quadcopter to deliver patients’ samples from a physicians’ office satellite lab/draw station to the WakeMed Medical Center’s central lab—the North Carolina healthcare system, in partnership with UPSFF, completed the first successful revenue-generating commercial transport of lab supplies by drone in the US at WakeMed’s flagship hospital and campus in Raleigh, N.C.
Bala Ganesh, a Vice President of Engineering at UPS, said UPSFF, which was launched in July 2019, is focused on healthcare deliveries. To make drone deliveries commercially viable, both “criticality” and an industry’s “willingness to pay” are important, he said. “We never looked at delivering pizza,” he told Forbes. UPSFF is the first company to receive the FAA’s Part 135 certification (package delivery by drone).
The video above demonstrates Matternet’s “Easy-to-use interface for sending and receiving packages 24/7/365.” The Matternet Station (above) is “integrated with the Matternet Cloud [Matternet’s proprietary software platform for operating Matternet networks] and the M2 Drone for payload and battery exchange, and autonomous take-off and landing. The station “can store up to seven payloads and batteries and hold one Matternet M2 Drone in its hangar.” Hospital-based clinical laboratory managers will appreciate the ease at which the station can be accessed by lab personnel. Click here to watch the full video. (Video and caption copyright: Matternet.)
BVLOS Drone Delivery of Clinical Laboratory Specimens in Europe
Last year, Matternet launched the first beyond-visual-line-of-sight (BVLOS)-operated medical drone network in Europe. Its unmanned aircraft will be flown without the requirement that a pilot always maintain a visual line of sight on the aircraft.
Matternet launched its BVLOS operations at Labor Berlin, Europe’s largest hospital laboratory, which includes facilities in 13 hospitals across Berlin.
“We continue to expand drone delivery operations around the world with a focus on urban environments,” said Andreas Raptopoulos, Matternet Founder and CEO, in a press release. “Hospitals and laboratories in densely populated cities like Berlin need fast and predictable transportation methods that avoid urban congestion. We are thrilled to partner with Labor Berlin and look forward to streamlining their diagnostics work to the benefit of Berlin’s hospitals and residents.”
According to the press release, Matternet’s drone delivery network will transport samples from hospitals to Labor Berlin facilities up to 70% faster than ground courier services, as well as reducing vehicular traffic and emissions in Berlin’s urban core. Currently, more than 15,000 samples are transported daily across Labor Berlin’s healthcare system.
Will Drone Delivery of Clinical Laboratory Specimens Become the New Normal?
“I think that this is the wave of the future,” Atrium Health Senior Vice President Conrad Emmerich, who previously served as Senior Vice President, Business Services, at Wake Forest Baptist Health, told Fox 8 News.
It’s certainly beginning to look as if drone delivery as a viable alternative to traditional transport methods is taking off (pun intended). Since 2017, Dark Daily has published 10 ebriefings on drone delivery systems for healthcare being trailed worldwide.
Since the shortest distance between two points is a straight line, regular transporting of clinical laboratory specimens and supplies by drone could reduce transit times between hospitals and clinical laboratories and lower laboratory specimen transportation costs.
Hospital administrators and medical laboratory executives may want to keep tabs on the expansion of such services into their regions. There may be opportunities to improve clinical outcomes and patient satisfaction.
Studies into use of population-level genomic cancer screening show promising results while indicating that such testing to find evidence of increased cancer risk among non-symptomatic people may be beneficial
In another example of a government health system initiating a program designed to proactively identify people at risk for a serious disease to allow early clinical laboratory diagnosis and monitoring for the disease, cancer researchers at Monash University in Australia have receive a $2.97 million grant from the Medical Research Future Fund (MRFF) to study ways to “identifying people who are living with a heightened cancer risk who would ordinarily be informed only after a potentially incurable cancer is diagnosed.”
According to a Monash news release, the researchers, led by Associate Professor Paul Lacaze, PhD, Head of the Public Health Genomics Program at Monash University, plan to use the award to develop a “new low-cost DNA screening test which will be offered to 10,000 young Australians. The new approach, once scaled-up, has the potential to drastically improve access to preventive genetic testing in Australia, and could help make Australia the world’s first nation to offer preventive DNA screening through a public healthcare system.”
Called DNACancerScreen, the clinical genetic test will be offered to anyone between the ages of 18 and 40, rather than to a select group of people who have a family history of cancer or who present with symptoms. The Monash scientists hope to advance knowledge about the relationship of specific genes and how they cause or contribute to cancer. Such information, they believe, could lead to the development of new precision medicine diagnostic tests and anti-cancer drug therapies.
Gap in Current Cancer Screening Practices
The DNACancerScreen test will look for genes related to two specific cancer categories:
Hereditary Breast and Ovarian Cancer Syndrome is associated with an increased risk of developing breast, ovarian, prostate, and pancreatic cancers, as well as melanoma. Lynch Syndrome is associated with colorectal, endometrial, ovarian, and other cancers.
Currently, screening practices may miss as many as 50-90% of individuals who carry genetic mutations associated with hereditary breast and ovarian cancer, and as many as 95% of those at risk due to Lynch Syndrome, according to the Monash news release.
But currently, only those with a family history of these cancers, or those who present with symptoms, are screened. By targeting younger individuals for screening, Lacaze and his team hope to give those at risk a better chance at early detection.
“This will empower young Australians to take proactive steps to mitigate risk, for earlier detection, surveillance from a younger age, and prevention of cancer altogether,” Lacaze said in the news release.
Along with the possibility of saving lives, Associate Professor Paul Lacaze, PhD (above), Head of the Public Health Genomics Program at Monash University, expects that the screening program will have an economic impact as well. “This type of preventive DNA testing will not only save lives, but also save the Australian public healthcare system money by preventing thousands of cancers,” he said. There’s evidence to back up his statement. In 2019 he led a team that published a study, titled, “Population Genomic Screening of All Young Adults in a Healthcare System: A Cost Effectiveness Analysis.” That study concluded, “Preventive genomic screening in early adulthood would be highly cost-effective in a single-payer healthcare system, but ethical issues must be considered.” (Photo copyright: Monash University.)
Similar Genetic Studies Show Encouraging Results
Although the DNACancerScreen study in Australia is important, it is not the first to consider the impact of population-level screening for Tier 1 genetic mutations. The Healthy Nevada Project (HVN), a project that combined genetic, clinical, environmental, and social data, tested participants for those Tier 1 conditions. The project was launched in 2016 and currently has more than 50,000 participants, a Desert Research Institute (DRI) press release noted.
In 2018, HVN began informing participants who had increased risk for hereditary breast and ovarian cancer, Lynch Syndrome, and a third condition called Familial Hypercholesterolemia. There were 27,000 participants, and 90% of those who had genetic mutations associated with the three Tier 1 conditions had not been previously identified.
“Our first goal was to deliver actionable health data back to the participants of the study and understand whether or not broad population screening of CDC Tier 1 genomic conditions was a practical tool to identify at-risk individuals,” said Joseph Grzymski, PhD, lead author of the HVN study in the DRI press release.
Grzymski is Principal Investigator of the Healthy Nevada Project, Director of the Renown Institute for Health Innovation, Chief Scientific Officer for Renown Health, and a Research Professor in Computational Biology and Genetics at the Desert Research Institute.
“Now, two years into doing that it is clear that the clinical guidelines for detecting risk in individuals are too narrow and miss too many at risk individuals,” he added.
A total of 358, or 1.33% of the 26,906 participants in the Healthy Nevada Project were carriers for the Tier 1 conditions, but only 25% of them met the current guidelines for screening, and only 22 had any previous suspicion in their medical records of their genetic conditions.
Another project, the MyCode Community Health Initiative conducted at Geisinger Health System, found that 87% of participants with a Tier 1 gene variant did not have a prior diagnosis of a related condition. When the participants were notified of their increased risk, 70% chose to have a related, suggested procedure.
“This evidence suggests that genomic screening programs are an effective way to identify individuals who could benefit from early intervention and risk management—but [who] have not yet been diagnosed—and encourage these individuals to take measures to reduce their risk,” a Geisinger Health press release noted.
Realizing the Promise of Precision Medicine
Studies like these are an important step in realizing the potential of precision medicine in practical terms. The Tier 1 genetic conditions are just a few of the more than 22,000 recognized human genes of which scientists have a clear understanding. Focusing only on those few genetic conditions enables clinicians to better help patients decide how to manage their risk.
“Genomic screening can identify at-risk individuals more comprehensively than previous methods and start people on the path to managing that risk. The next step is figuring out the impact genomic screening has on improving population health,” said Adam Buchanan, MPH, MS, Director of Geisinger’s Genomic Medicine Institute.
These are positive developments for clinical laboratories and anatomic pathology group practices. The three examples cited above show that a proactive screening program using genetic tests can identify individuals at higher risk for certain cancers. Funding such programs will be the challenge.
At the current cost of genetic testing, screening 100 people to identify a few individuals at high risk for cancer would probably not be considered the highest and best use of the limited funds available to the healthcare system.
Hello primary diagnosis of digital pathology images via artificial intelligence! Goodbye light microscopes!
Digital pathology is poised to take a great leap forward. Within as few as 12 months, image analysis algorithms may gain regulatory clearance in the United States for use in primary diagnosis of whole-slide images (WSIs) for certain types of cancer. Such a development will be a true revolution in surgical pathology and would signal the beginning of the end of the light microscope era.
A harbinger of this new age of digital pathology and automated image analysis is a press release issued last week by Ibex Medical Analytics of Tel Aviv, Israel. The company announced that its Galen artificial intelligence (AI)-powered platform for use in the primary diagnosis of specific cancers will undergo an accelerated review by the Food and Drug Administration (FDA).
FDA’s ‘Breakthrough Device Designation’ for Pathology AI Platform
Ibex stated that “The FDA’s Breakthrough Device Designation is granted to technologies that have the potential to provide more effective treatment or diagnosis of life-threatening diseases, such as cancer. The designation enables close collaboration with, and expedited review by, the FDA, and provides formal acknowledgement of the Galen platform’s utility and potential benefit as well as the robustness of Ibex’s clinical program.”
“All surgical pathologists should recognize that, once the FDA begins to review and clear algorithms capable of using digital pathology images to make an accurate primary diagnosis of cancer, their daily work routines will be forever changed,” stated Robert L. Michel, Editor-in-Chief of Dark Daily and its sister publication The Dark Report. “Essentially, as FDA clearance is for use in clinical care, pathology image analysis algorithms powered by AI will put anatomic pathology on the road to total automation.
“Clinical laboratories have seen the same dynamic, with CBCs (complete blood counts) being a prime example. Through the 1970s, clinical laboratories employed substantial numbers of hematechnologists [hematechs],” he continued. “Hematechs used a light microscope to look at a smear of whole blood that was on a glass slide with a grid. The hematechs would manually count and record the number of red and white blood cells.
“That changed when in vitro diagnostics (IVD) manufacturers used the Coulter Principle and the Coulter Counter to automate counting the red and white blood cells in a sample, along with automatically calculating the differentials,” Michel explained. “Today, only clinical lab old-timers remember hematechs. Yet, the automation of CBCs eventually created more employment for medical technologists (MTs). That’s because the automated instruments needed to be operated by someone trained to understand the science and medicine involved in performing the assay.”
Primary Diagnosis of Cancer with an AI-Powered Algorithm
Surgical pathology is poised to go down a similar path. Use of a light microscope to conduct a manual review of glass slides will be supplanted by use of digital pathology images and the coming next generation of image analysis algorithms. Whether these algorithms are called machine learning, computational pathology, or artificial intelligence, the outcome is the same—eventually these algorithms will make an accurate primary diagnosis from a digital image, with comparable quality to a trained anatomic pathologist.
How much of a threat is automated analysis of digital pathology images? Computer scientist/engineer Ajit Singh, PhD, a partner at Artiman Ventures and an authority on digital pathology, believes that artificial intelligence is at the stage where it can be used for primary diagnosis for two types of common cancer: One is prostate cancer, and the other is dermatology.
On June 17, Ajit Singh, PhD (above), Partner at Artiman Ventures, will lead a special webinar and roundtable discussion for all surgical pathologists and their practice administrators on the coming arrival of artificial intelligence-powered algorithms to aid in the primary diagnosis of certain cancers. Regulatory approval for such solutions may happen by the end of this year. Such a development would accelerate the transition from light microscopes to a fully digital pathology workflow. Singh is shown above addressing the 2018 Executive War College. (Photo copyright: The Dark Report.)
“It is now possible to do a secondary read, and even a first read, in prostate cancer with an AI system alone. In cases where there may be uncertainty, a pathologist can review the images. Now, this is specifically for prostate cancer, and I think this is a tremendous positive development for diagnostic pathways,” he added.
Use of Digital Pathology with AI-Algorithms Changes Diagnostics
Pathologists who are wedded to their light microscopes will want to pay attention to the impending arrival of a fully digital pathology system, where glass slides are converted to whole-slide images and then digitized. From that point, the surgical pathologist becomes the coach and quarterback of an individual patient’s case. The pathologist guides the AI-powered image analysis algorithms. Based on the results, the pathologist then orders supplementary tests appropriate to developing a robust diagnosis and guiding therapeutic decisions for that patient’s cancer.
In his interview with The Dark Report, Singh explained that the first effective AI-powered algorithms in digital pathology will be developed for prostate cancer and skin cancer. Both types of cancer are much less complex than, say, breast cancer. Moreover, the AI developers have decades of prostate cancer and melanoma cases where the biopsies, diagnoses, and downstream patient outcomes create a rich data base from which the algorithms can be trained and tuned.
This webinar is organized as a roundtable discussion so participants can interact with the expert panelists. The Chair and Moderator is Ajit Singh, PhD, Adjunct Professor at the Stanford School of Medicine and Partner at Artiman Ventures.
The panelists (above) represent academic pathology, community hospital pathology, and the commercial sector. They are:
Because the arrival of automated analysis of digital pathology images will transform the daily routine of every surgical pathologist, it would be beneficial for all pathology groups to have one or more of their pathologists register and participate in this critical webinar.
The roundtable discussion will help them understand how quickly AI-powered image analysis is expected be cleared for use by the FDA in such diseases as prostate cancer and melanomas. Both types of cancers generate high volumes of case referrals to the nation’s pathologists, so potential for disruption to long-standing client relationships, and the possible loss of revenue for pathology groups that delay their adoption of digital pathology, can be significant.
On the flip side, community pathology groups that jump on the digital pathology bandwagon early and with the right preparation will be positioned to build stronger client relationships, increase subspecialty case referrals, and generate additional streams of revenue that boost partner compensation within their group.
Also, because so many pathologists are working remotely, Dark Daily has arranged special group rates for pathology practices that would like their surgical pathologists to participate in this important webinar and roundtable discussion on AI-powered primary diagnosis of pathology images. Inquire at info@darkreport.com or call 512-264-7103.
