Collected data could give healthcare providers and clinical laboratories a practical view of individuals’ oral microbiota and lead to new diagnostic assays
When people hear about microbiome research, they usually think of the study of gut bacteria which Dark Daily has covered extensively. However, this type of research is now expanding to include more microbiomes within the human body, including the oral microbiome—the microbiota living in the human mouth.
One example is coming from Genefitletics, a biotech company based in New Delhi, India. It recently launched ORAHYG, the first and only (they claim) at-home oral microbiome functional activity test available in Asia. The company is targeting the direct-to-consumer (DTC) testing market.
According to the Genefitletics website, the ORAHYG test can decode the root causes of:
“Using oral microbial gene expression sequencing technology and its [machine learning] model, [Genefitletics] recently debuted its oral microbiome gene expression solution, which bridges the gap between dentistry and systemic inflammation,” ETHealthworld reported.
“The molecular insights from this test would give an unprecedented view of functions of the oral microbiome, their interaction with gut microbiome and impact on metabolic, cardiovascular, cognitive, skin, and autoimmune health,” BioSpectrum noted.
“Microbes, the planet Earth’s original inhabitants, have coevolved with humanity, carry out vital biological tasks inside the body, and fundamentally alter how we think about nutrition, medicine, cleanliness, and the environment,” Sushant Kumar (above), founder and CEO of Genefitletics, told the Economic Times. “This has sparked additional research over the past few years into the impact of the trillions of microorganisms that inhabit the human body on our health and diverted tons of funding into the microbiome field.” Clinical laboratories may eventually see an interest and demand for testing of the oral microbiome. (Photo copyright: ETHealthworld.)
Imbalanced Oral Microbiome Can Trigger Disease
The term microbiome refers to the tiny microorganisms that reside on and inside our bodies. A high colonization of these microorganisms—including bacteria, fungi, yeast, viruses, and protozoa—live in our mouths.
“Mouth is the second largest and second most diverse colonized site for microbiome with 770 species comprising 100 billion microbes residing there,” said Sushant Kumar, founder and CEO of Genefitletics, BioSpectrum reported. “Each place inside the mouth right from tongue, throat, saliva, and upper surface of mouth have a distinctive and unique microbiome ecosystem. An imbalanced oral microbiome is said to trigger onset and progression of type 2 diabetes, arthritis, heart diseases, and even dementia.”
The direct-to-consumer ORAHYG test uses a saliva sample taken either by a healthcare professional or an individual at home. That sample is then sequenced through Genefitletics’ gene sequencing platform and the resulting biological data set added to an informatics algorithm.
Genefitletics’ machine-learning platform next converts that information into a pre-symptomatic molecular signature that can predict whether an individual will develop a certain disease. Genefitletics then provides that person with therapeutic and nutritional solutions that can suppress the molecules that are causing the disease.
“The current industrial healthcare system is really a symptom care [system] and adopts a pharmaceutical approach to just make the symptoms more bearable,” Kumar told the Economic Times. “The system cannot decode the root cause to determine what makes people develop diseases.”
Helping People Better Understand their Health
Founded in 2019, Genefitletics was created to pioneer breakthrough discoveries in microbial science to promote better health and increase longevity in humans. The company hopes to unravel the potential of the oral microbiome to help people fend off illness and gain insight into their health.
“Microorganisms … perform critical biological functions inside the body and transform our approach towards nutrition, medicine, hygiene and environment,” Kumar told CNBC. “It is important to understand that an individual does not develop a chronic disease overnight.
“It starts with chronic inflammation which triggers pro-inflammatory molecular indications. Unfortunately, these molecular signatures are completely invisible and cannot be measured using traditional clinical grade tests or diagnostic investigations,” he added. “These molecular signatures occur due to alteration in gene expression of gut, oral, or vaginal microbiome and/or human genome. We have developed algorithms that help us in understanding these alterations way before the clinical symptoms kick in.”
Genefitletics plans to utilize individuals’ collected oral microbiome data to determine their specific nutritional shortcomings, and to develop personalized supplements to help people avoid disease.
The company also produces DTC kits that analyze gut and vaginal microbiomes as well as a test that is used to evaluate an infant’s microbiome.
“The startup wants to develop comparable models to forecast conditions like autism, PCOS [polycystic ovarian syndrome], IBD [Inflammatory bowel disease], Parkinson’s, chronic renal [kidney] disease, anxiety, depression, and obesity,” the Economic Times reported.
Time will tell whether the oral microbiome tests offered by this company prove to be clinically useful. Certainly Genefitletics hopes its ORAHYG test can eventually provide healthcare providers—including clinical laboratory professionals—with a useful view of the oral microbiome. The collected data might also help individuals become aware of pre-symptomatic conditions that make it possible for them to seek confirmation of the disease and early treatment by medical professionals.
Clinical laboratory leaders may be aware that many hospitals still do not have capabilities to make a timely diagnosis of sepsis
Despite the fact that “one in three people who dies in a hospital had sepsis during that hospitalization,” recent data from the Centers for Disease Control and Prevention (CDC) show that many hospitals in the US lack the resources to identify sepsis and begin treatment as soon as possible, CNN reported.
According to the CDC, 1.7 million Americans develop sepsis annually. And of that group, at least 350,000 adults die in hospitals or hospice care centers. Clinical laboratories tasked with performing the plethora of tests needed to diagnose sepsis will agree that it is one of the gravest healthcare dangers patients face.
To address this potentially deadly threat, the CDC developed the “Hospital Sepsis Program Core Elements: 2023” to support the implementation of sepsis protocols at all hospitals, to optimize any existing sepsis programs, and to organize staff and identify resources to lower sepsis rates and raise survivability.
“Modeled after CDC’s Core Elements of Antibiotic Stewardship, which has proven to be an impactful resource to protect patients from the harms caused by unnecessary antibiotic use and to combat antimicrobial resistance, the Sepsis Core Elements were created with the expectation that all hospitals, regardless of size and location, would benefit from this resource,” a CDC press release noted.
“CDC’s Hospital Sepsis Program Core Elements are a guide for structuring sepsis programs that put your healthcare providers in the best position to rapidly identify and provide effective care for all types of patients with sepsis,” said Raymund Dantes, MD (above), Medical Advisor, National Healthcare Safety Network, CDC, and Associate Professor, Emory University School of Medicine, in a CDC press release. Hospital medical laboratories will play a key role in the success of the CDC’s sepsis program. (Photo copyright: Emory School of Medicine.)
Seven Elements to Improve Sepsis Diagnosis
Sepsis can occur when chemicals released into the bloodstream to fight off an infection produce massive inflammation throughout the body. This potentially fatal reaction can cause a deluge of changes within the body that damage multiple organs, leading them to fail.
The CDC designed its hospital sepsis program to improve and monitor the management and outcomes of patients with sepsis. The core elements of the program include seven main points:
Hospital Leadership Commitment: Management must dedicate the necessary staff, financial, and information technology resources.
Accountability: Appoint a team responsible for program goals and outcomes.
Multi-professional Expertise: Make sure key personnel throughout the healthcare system are engaged in the program.
Action: Implement structures and processes to improve the identification of the illness and patient outcomes.
Tracking: Develop initiatives to measure sepsis epidemiology, management, overall outcomes, and progress towards established goals.
Reporting: Provide information on sepsis management and outcomes to relevant partners.
Education: Provide healthcare professionals, patients, and family/caregivers with information on sepsis.
“Sepsis is taking too many lives. One in three people who dies in a hospital has sepsis during that hospitalization. Rapid diagnosis and immediate appropriate treatment, including antibiotics, are essential to saving lives, yet the challenges of awareness about and recognition of sepsis are enormous,” said CDC Director Mandy Cohen, MD, in the CDC press release. “That’s why CDC is calling on all US hospitals to have a sepsis program and raise the bar on sepsis care by incorporating these seven core elements.”
Early Diagnosis Presents Challenges
Sepsis care is complex. The condition requires urgent medical intervention to prevent organ damage and death. But the symptoms, which include fever or low temperature, shivering, confusion, breathing difficulties, extreme body pain or discomfort, high heart rate, weak pulse or low blood pressure, and low urine output, can be general and indicative of other illnesses.
The diagnosis of sepsis usually requires the collection of a blood culture specimen that is then incubated until there is enough bacterial growth to identify the specific strains of bacteria in a particular patient. This process can take several days, which can delay the administering of the most effective treatment for the condition. Treatment usually includes antibiotics and intravenous fluids.
A recent CDC survey of 5,221 US hospitals showed that in 2022, only 73% of hospitals reported having a sepsis program, ranging from 53% among hospitals with less than 25 beds to 95% among hospitals with over 500 beds.
That survey, released in the CDC’s August Morbidity and Mortality Weekly Report (MMWR), also discovered that only 55% of all hospitals had personnel with dedicated time to manage and conduct necessary daily activities for a sepsis program.
Raymund Dantes, MD, Medical Advisor, National Healthcare Safety Network, CDC, and Associate Professor, Emory University School of Medicine, told CNN that as many as 1,400 hospitals have no sepsis program in place at all. Therefore, he added, the CDC’s Hospital Sepsis Program Core Elements documents also include a “getting started guide” to help those hospitals create the needed committees.
“For those hospitals that already have sepsis programs underway and have available resources, we have a lot more details and best practices that we’ve collected from hospitals about how to better improve your sepsis programs,” he said. “The seven elements complement clinical guidelines by describing the leadership, expertise, tracking, education, and other elements that can be implemented in a wide variety of hospitals to improve the quality of sepsis care.”
Hospital Laboratories Play a Key Role in Reducing Sepsis
According to the CDC, anyone can get an infection and almost any infection can lead to sepsis. However, some populations are more vulnerable to sepsis than others. They include:
Older persons
Pregnant or recently pregnant women
Neonates
Hospitalized Patients
Patients in Intensive Care Units
People with weakened immune systems
People with chronic medical conditions
According to the World Health Organization (WHO), there were 48.9 million sepsis cases and 11 million sepsis-related deaths worldwide in 2017. This number accounted for almost 20% of all global deaths. Almost half of all the global sepsis cases occurred in children, resulting in 2.9 million deaths in children under the age of five.
“Sepsis is complex, often difficult to identify, and takes a tremendous societal toll in the United States,” said Steven Simpson, MD, Professor of Medicine at the University of Kansas and Chair, Board of Directors, Sepsis Alliance, a non-profit organization dedicated to raising awareness and reducing suffering from sepsis, in a press release. “To tackle the number one killer in American hospitals, we need a comprehensive National Action Plan to find cures, get them in the hands of professionals, and educate the public and professionals alike.”
Hospital medical laboratories can help reduce sepsis by finding ways to support their physicians’ diagnoses of this infection that has taken so many lives.
Meet ‘PECOTEX,’ a newly-invented cotton thread with up to 10 sensors that is washable. Its developers hope it can help doctors diagnosis disease and enable patients to monitor their health conditions
Wearable biosensors continue to be an exciting area of research and product development. The latest development in wearable biosensors comes from a team of scientists led by Imperial College London. This team created a conductive cotton thread that can be woven onto T-shirts, textiles, and face masks and used to monitor key biosignatures like heart rate, respiratory rate, and ammonia levels.
Clinical laboratory managers and pathologists should also take note that this wearable technology also can be used to diagnose and track diseases and improve the monitoring of sleep, exercise, and stress, according to an Imperial College London news release.
Should this technology make it into daily use, it might be an opportunity for clinical laboratories to collect diagnostic and health-monitoring data to add to the patient’s full record of lab test results. In turn, clinical pathologists could use that data to add value when consulting with referring physicians and their patients.
“Our research opens up exciting possibilities for wearable sensors in everyday clothing,” said Firat Güder, PhD, Principal Investigator and Chief Engineer at Güder Research Group at Imperial College London, in a news release. “By monitoring breathing, heart rate, and gases, they can already be seamlessly integrated, and might even be able to help diagnose and monitor treatments of disease in the future.” (Photo copyright: Wikipedia.)
Ushering in New Generation of Wearable Health Sensors
The researchers dubbed their new sensor thread PECOTEX. It’s a polystyrene sulfonate-modified cotton conductive thread that can incorporate more than 10 sensors into cloth surfaces, costs a mere 15 cents/meter (slightly over 39 inches), and is machine washable.
“PECOTEX is high-performing, strong, and adaptable to different needs,” stated Firat Güder, PhD, Principal Investigator and Chief Engineer at Güder Research Group, Imperial College London, in the press release.
“It’s readily scalable, meaning we can produce large volumes inexpensively using both domestic and industrial computerized embroidery machines,” he added.
The material is less breakable and more conductive than conventional conductive threads, which allows for more layers to be embroidered on top of each other to develop more complex sensors. The embroidered sensors retain the intrinsic values of the cloth items, such as wearability, breathability, and the feel on the skin. PECOTEX is also compatible with computerized embroidery machines used in the textile industry.
The researchers embroidered the sensors into T-shirts to track heart activity, into a face mask to monitor breathing, and into other textiles to monitor gases in the body like ammonia which could help detect issues with liver and kidney function, according to the news release.
“The flexible medium of clothing means our sensors have a wide range of applications,” said Fahad Alshabouna, a PhD candidate at Imperial College’s Department of Bioengineering and lead author of the study in the news release. “They’re also relatively easy to produce which means we could scale up manufacturing and usher in a new generation of wearables in clothing.”
Uses for PECOTEX Outside of Healthcare
The team plans on exploring new applications for PECOTEX, such as energy storage, energy harvesting, and biochemical testing for personalized medicine. They are also seeking partners for commercialization of the product.
“We demonstrated applications in monitoring cardiac activity and breathing, and sensing gases,” Fahad added. “Future potential applications include diagnosing and monitoring disease and treatment, monitoring the body during exercise, sleep, and stress, and use in batteries, heaters, and anti-static clothing.”
Wearable healthcare devices have enormous potential to perform monitoring for diagnostic, therapeutic, and rehabilitation purposes and support precision medicine.
Further studies and clinical trials need to occur before PECOTEX will be ready for mass consumer use. Nevertheless, it could lead to new categories of inexpensive, wearable sensors that can be integrated into everyday clothes to provide data about an individual’s health and wellbeing.
If this technology makes it to clinical use, it could provide an opportunity for clinical laboratories to collect diagnostic data for patient records and help healthcare professionals track their patients’ medical conditions.
Technology could enable patients to monitor their own oxygen levels and transmit that data to healthcare providers, including clinical laboratories
Clinical laboratories may soon have a new data point to add to their laboratory information system (LIS) for doctors to review. Researchers have determined that smartphones can read blood-oxygen levels as accurately as purpose-built pulse oximeters.
Conducted by researchers at the University of Washington (UW) and University of California San Diego (UC San Diego), the proof-of-concept study found that an unmodified smartphone camera and flash along with an app is “capable of detecting blood oxygen saturation levels down to 70%. This is the lowest value that pulse oximeters should be able to measure, as recommended by the US Food and Drug Administration,” according to Digital Health News.
This could mean that patients at risk of hypoxemia, or who are suffering a respiratory illness such as COVID-19, could eventually add accurate blood-oxygen saturation (SpO2) readings to their lab test results at any time and from any location.
“In an ideal world, this information could be seamlessly transmitted to a doctor’s office. This would be really beneficial for telemedicine appointments or for triage nurses to be able to quickly determine whether patients need to go to the emergency department or if they can continue to rest at home and make an appointment with their primary care provider later,” Matthew Thompson, DPhil, Professor of Global Health and Family Medicine at University of Washington, told Digital Health News. Clinical laboratories may soon have a new data point for their laboratory information systems. (Photo copyright. University of Washington.)
UW/UC San Diego Study Details
The researchers studied three men and three women, ages 20-34. All were Caucasian except for one African American, Digital Health News reported. To conduct the study, a standard pulse oximeter was placed on a finger and, on the same hand, another of the participant’s fingers was placed over a smartphone camera.
“We performed the first clinical development validation on a smartphone camera-based SpO2 sensing system using a varied fraction of inspired oxygen (FiO2) protocol, creating a clinically relevant validation dataset for solely smartphone-based contact PPG [photoplethysmography] methods on a wider range of SpO2 values (70–100%) than prior studies (85–100%). We built a deep learning model using this data to demonstrate an overall MAE [Mean Absolute Error] = 5.00% SpO2 while identifying positive cases of low SpO2 < 90% with 81% sensitivity and 79% specificity,” the researchers wrote in NPJ Digital Medicine.
When the smartphone camera’s flash passes light through the finger, “a deep-learning algorithm deciphers the blood oxygen levels.” Participants were also breathing in “a controlled mixture of oxygen and nitrogen to slowly reduce oxygen levels,” Digital Health News reported.
“The camera is recording a video: Every time your heart beats, fresh blood flows through the part illuminated by the flash,” Edward Wang, PhD, Assistant Professor of Electrical and Computer Engineering at UC San Diego and senior author of the project, told Digital Health News. Wang started this project as a UW doctoral student studying electrical and computer engineering and now directs the UC San Diego DigiHealth Lab.
“The camera records how much that blood absorbs the light from the flash in each of the three color channels it measures: red, green, and blue. Then we can feed those intensity measurements into our deep-learning model,” he added.
The deep learning algorithm “pulled out the blood oxygen levels. The remainder of the data was used to validate the method and then test it to see how well it performed on new subjects,” Digital Health News reported.
“Smartphone light can get scattered by all these other components in your finger, which means there’s a lot of noise in the data that we’re looking at,” Varun Viswanath, co-lead author in the study, told Digital Health News. Viswanath is a UW alumnus who is now a doctoral student being advised by Wang at UC San Diego.
“Deep learning is a really helpful technique here because it can see these really complex and nuanced features and helps you find patterns that you wouldn’t otherwise be able to see,” he added.
Each round of testing took approximately 15 minutes. In total the researchers gathered more than 10,000 blood oxygen readings. Levels ranged from 61% to 100%.
“The smartphone correctly predicted whether the subject had low blood oxygen levels 80% of the time,” Digital Health News reported.
Smartphones Accurately Collecting Data
The UW/UC San Diego study is the first to show such precise results using a smartphone.
“Other smartphone apps that do this were developed by asking people to hold their breath. But people get very uncomfortable and have to breathe after a minute or so, and that’s before their blood-oxygen levels have gone down far enough to represent the full range of clinically relevant data,” said Jason Hoffman, a PhD student researcher at UW’s UbiComp Lab and co-lead author of the study.
The ability to track a full 15 minutes of data is a prime example of improvement. “Our data shows that smartphones could work well right in the critical threshold range,” Hoffman added.
“Smartphone-based SpO2 monitors, especially those that rely only on built-in hardware with no modifications, present an opportunity to detect and monitor respiratory conditions in contexts where pulse oximeters are less available,” the researchers wrote.
“This way you could have multiple measurements with your own device at either no cost or low cost,” Matthew Thompson, DPhil, Professor of Global Health and Family Medicine at University of Washington, told Digital Health News. Thompson is a professor of both family medicine and global health and an adjunct professor of pediatrics at the UW School of Medicine.
What Comes Next
The UW/UC San Diego research team plans to continue its research and gather more diversity among subjects.
“It’s so important to do a study like this,” Wang said. “Traditional medical devices go through rigorous testing. But computer science research is still just starting to dig its teeth into using machine learning for biomedical device development and we’re all still learning. By forcing ourselves to be rigorous, we’re forcing ourselves to learn how to do things right.”
Though no current clinical laboratory application is pending, smartphone use to capture biometrics for testing is increasing. Soon, labs may need a way to input all that data into their laboratory information systems. It’s something to consider.
Further development of this novel technology could result in new, more sensitive assays for clinical laboratories to use in the effort to improve antimicrobial stewardship in hospitals
Researchers at McMaster University in Ontario, Canada, have used artificial intelligence (AI) to identify a potential antibiotic that neutralizes the drug-resistant bacteria Acinetobacter baumannii, an antibiotic resistant pathogen commonly found in many hospitals. This will be of interest to clinical laboratory managers and microbiologists involved in identifying strains of bacteria to determine if they are antimicrobial-resistant (AMR) superbugs.
Using machine learning, the scientists screened thousands molecules to look for those that inhibited the growth of this specific pathogen. And they succeeded.
“We trained a neural network with this growth inhibition dataset and performed in silico predictions for structurally new molecules with activity against A. baumannii,” the researchers wrote in their published study.
They discovered that the molecule abaucin inhibited the growth of the antibiotic-resistant pathogen in vitro.
This shows how machine learning and AI technologies are giving biomedical researchers tools to identify new therapeutic drugs that are effective against drug-resistant strains of bacteria. This same research can be expected to lead to new clinical laboratory assays that determine if superbugs can be attacked by specific therapeutic drugs.
“When I think about AI in general, I think of these models as things that are just going to help us do the thing we’re going to do better,” Jonathan Stokes, PhD, Assistant Professor of Biomedicine and Biochemistry at McMaster University in Ontario, Canada, and lead author of the study, told USA Today. Clinical laboratory scientists and microbiologists will be encouraged by the McMaster University scientists’ findings. (Photo copyright: McMaster University.)
McMaster Study Details
Jonathan Stokes, PhD, head of the Stokes Laboratory at McMaster University, is Assistant Professor of Biomedicine/Biochemistry at McMaster and lead author of the study. Stokes’ team worked with researchers from the Broad Institute of MIT and Harvard to explore the effectiveness of AI in combating superbugs, USA Today reported.
“This work highlights the utility of machine learning in antibiotic discovery and describes a promising lead with targeted activity against a challenging Gram-negative pathogen,” the researchers wrote in Nature Chemical Biology.
Stokes Lab utilized the high-throughput drug screening technique, spending weeks growing and exposing Acinetobacter baumannii to more than 7,500 agents of drugs and active ingredients of drugs. When 480 compounds were uncovered that blocked the growth of bacteria, this information was then provided to a computer that was trained to run an AI algorithm, CNN reported.
“Once we had our [machine learning] model trained, what we could do then is start showing that model brand-new pictures of chemicals that it had never seen, right? And based on what it had learned during training, it would predict for us whether those molecules were antibacterial or not,” Stokes told CNN.
The model spent hours screening more than 6,000 molecules. It then narrowed the search to 240 chemicals, which were tested in the lab. The scientists pared down the results to the nine most effective inhibitors of bacteria. They then eliminated those that were either related to existing antibiotics or might be considered dangerous.
The researchers found one compound—RS102895 (abaucin)—which, according to Stokes, was likely created to treat diabetes, CNN reported. The scientists discovered that the compound prevented bacterial components from making their way from inside a cell to the cell’s surface.
“It’s a rather interesting mechanism and one that is not observed amongst clinical antibiotics so far as I know,” Stokes told CNN.
Because of the effectiveness of the antibiotic during testing on mice skin, the researchers believe this method may be useful for creating antibiotics custom made to battle additional drug resistant pathogens, CNN noted.
Defeating a ‘Professional Pathogen’
Acinetobacter baumannii (A. baumannii)—the focus of Stoke’s study—is often found on hospital counters and doorknobs and has a sneaky way of using other organisms’ DNA to resist antibiotic treatment, according to CNN.
“It’s what we call in the laboratory a professional pathogen,” Stokes told CNN.
A. baumannii causes infections in the urinary tract, lungs, and blood and typically wreaks havoc to vulnerable patients on breathing machines, in intensive care units, or undergoing surgery, USA Today reported.
A. baumannii is resistant to carbapenem, a potent antibiotic. The Centers for Disease Control and Prevention (CDC) reported that in 2017 the bacteria infected 8,500 people in hospitals, 700 of those infections being fatal.
Further, in its 2019 “Antibiotic Resistance Threats in the United States” report, the CDC stated that one out of every four patients infected with the bacteria died within one month of their diagnosis. The federal agency deemed the bacteria “of greatest need” for new antibiotics.
Thus, finding a way to defeat this particularly nasty bacteria could save many lives.
Implications of Study Findings on Development of new Antibiotics
The Stokes Laboratory study findings show promise. If more antibiotics worked so precisely, it’s possible bacteria would not have a chance to become resistant in the first place, CNN reported.
Next steps in Stokes’ research include optimizing the chemical structure and testing in larger animals or humans, USA Today reported.
“It’s important to remember [that] when we’re trying to develop a drug, it doesn’t just have to kill the bacterium,” Stokes noted. “It also has to be well tolerated in humans and it has to get to the infection site and stay at the infection site long enough to elicit an effect,” USA Today reported.
Stokes’ study is a prime example of how AI can make a big impact in clinical laboratory diagnostics and treatment.
“We know broad-spectrum antibiotics are suboptimal and that pathogens have the ability to evolve and adjust to every trick we throw at them … AI methods afford us the opportunity to vastly increase the rate at which we discover new antibiotics, and we can do it at a reduced cost. This is an important avenue of exploration for new antibiotic drugs,” Stokes told CNN.
Clinical laboratory managers and microbiologists may want to keep an open-mind about the use of AI in drug development. More research is needed to give substance to the McMaster University study’s findings. But the positive results may lead to methods for fine tuning existing antibiotics to better combat antimicrobial-resistant bacteria, USA Today reported.
