Artificial intelligence in healthcare
Artificial intelligence in healthcare incorporates algorithms, machine learning, natural language processing and emerging AI technology to analyze complex medical data. Healthcare AI assists in diagnostic pathology, treatment planning and patient care management by facilitating greater efficiency and accuracy in clinical decisions, medical research and personalized medicine.
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Feature
18 Dec 2024
Supporting GLP-1 prescribing with digital twin technology
GLP-1s have exploded in popularity, but are not suitable for every patient. A digital twin could provide decision support for clinicians without access to expert second opinions. Continue Reading
By- Shania Kennedy, Assistant Editor
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Feature
17 Dec 2024
AI in medical diagnostics and decision-making
AI technologies enable doctors to improve diagnostic accuracy, personalize treatment plans and streamline clinical workflows. However, they also pose challenges worth considering. Continue Reading
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News
14 Oct 2021
Predictive Analytics Spots Autism Spectrum Disorders in Children
With predictive analytics, researchers can identify eventual diagnoses of autism spectrum disorder in young children. Continue Reading
By- Erin McNemar, MPA
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News
13 Oct 2021
Low Risk Prediction Models for Black Women Causes Health Disparities
A lack of breast cancer risk prediction models made specifically for Black women highlights health disparities. Continue Reading
By- Erin McNemar, MPA
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Answer
12 Oct 2021
Building a Data Analytics Platform to Improve Efficiency, Outcomes
Dayton Children’s Health Partners is building a data aggregation platform to improve efficiency and patient outcomes. Continue Reading
By- Erin McNemar, MPA
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News
12 Oct 2021
Using Predictive Analytics to Determine COVID-19 Severity in Children
By testing saliva samples, researchers are using predictive analytics to identify children at risk of severe COVID-19. Continue Reading
By- Erin McNemar, MPA
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News
07 Oct 2021
Artificial Intelligence Advances Breast Cancer Detection
Sorting through MRIs, artificial intelligence can determine a patient’s breast cancer diagnosis. Continue Reading
By- Erin McNemar, MPA
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News
06 Oct 2021
Predictive Analytics Model Helps Determine Colon Cancer Risk
Researchers have created a prediction model that can identify and patient’s risk for developing colon cancer. Continue Reading
By- Erin McNemar, MPA
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Answer
05 Oct 2021
Data Analytics, Artificial Intelligence Lower Hospital Infections
By switching to a data analytics and AI-powered hygiene monitoring system, Novant Health decreased its number of hospital-acquired infections. Continue Reading
By- Erin McNemar, MPA
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News
29 Sep 2021
Enhancing Cancer Diagnostic Tools with Deep Learning
Researchers are working to incorporate deep learning into PS-OCT to improve cancer diagnostic tools. Continue Reading
By- Erin McNemar, MPA
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News
28 Sep 2021
Improving Breast Cancer Imaging with Artificial Intelligence
NYU researchers developed an artificial intelligence tool to improve the accuracy of breast cancer imaging. Continue Reading
By- Erin McNemar, MPA
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News
28 Sep 2021
Using Artificial Intelligence to Detect Anti-cancer Immunity
Researchers created an artificial intelligence method for discovering anti-cancer immunity. Continue Reading
By- Erin McNemar, MPA
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News
27 Sep 2021
Deep Learning Model Could Predict Outcomes for HCC Patients
Cleveland Clinic and Owkin worked together to create a deep learning model to predict HCC patient outcomes after liver transplantation. Continue Reading
By- Erin McNemar, MPA
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News
24 Sep 2021
How Does Artificial Intelligence Compare to Augmented Intelligence?
Both artificial intelligence and augmented intelligence share the same goal but have different approaches to achieve it. Continue Reading
By- Erin McNemar, MPA
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News
22 Sep 2021
Exploring Artificial Intelligence in Healthcare Around the Globe
HL7 International hosts a panel highlighting the different uses of artificial intelligence in healthcare. Continue Reading
By- Erin McNemar, MPA
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News
21 Sep 2021
Predictive Analytics Flags Gynecologic Cancer Relapse in Patients
By testing the blood of gynecologic cancer patients, providers can identify and predict those at high risk of relapse. Continue Reading
By- Erin McNemar, MPA
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News
16 Sep 2021
Blood Enzyme Activity Predicts Chronic Disease Progression
Researchers found that blood enzyme activity could determine the chronic disease progression of breast cancer. Continue Reading
By- Erin McNemar, MPA
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News
14 Sep 2021
Microscopy, Artificial Intelligence Aids Detection of COVID-19
Researchers created a COVID-19 test that uses microscopy and artificial intelligence to identify the virus. Continue Reading
By- Erin McNemar, MPA
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News
10 Sep 2021
Using SDOH Data to Enhance Artificial Intelligence, Outcomes
By improving risk identification and eliminating health disparities, SDOH data can enhance AI and patient outcomes. Continue Reading
By- Erin McNemar, MPA
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News
09 Sep 2021
Blood Samples, Predictive Analytics Determine COVID-19 Outcomes
By taking blood samples, researchers can use predictive analytics to determine a COVID-19 patient’s survival rate. Continue Reading
By- Erin McNemar, MPA
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News
09 Sep 2021
Deep Learning Model for Mammograms Predicts Breast Cancer Risk
Researchers developed a deep learning model to identify patients at high risk for breast cancer. Continue Reading
By- Erin McNemar, MPA
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News
08 Sep 2021
Artificial Intelligence Tool Enhances Brain Stimulation Devices
Mayo Clinic and Google Research developed an artificial intelligence tool to provide better care for patients using brain stimulation devices. Continue Reading
By- Erin McNemar, MPA
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News
08 Sep 2021
Artificial Intelligence Predicts Ventilator Need of COVID-19 Patients
Researchers developed an artificial intelligence tool that can determine if COVID-19 patients will need a ventilator. Continue Reading
By- Erin McNemar, MPA
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News
06 Sep 2021
Machine Learning Tool Detects Genetic Syndromes in Children
Researchers created a machine learning tool that can identify genetic syndromes in children through rapid screening. Continue Reading
By- Erin McNemar, MPA
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News
02 Sep 2021
Artificial Intelligence Technology Advances Heart Imaging
Doctors can examine a patient’s heart for scar tissue without contrast injections with new artificial intelligence technology, improving heart imaging. Continue Reading
By- Erin McNemar, MPA
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News
02 Sep 2021
Enhancing AI in Chronic Disease Management with Data Collection
High-quality data collection is essential to improving applications of artificial intelligence to chronic disease management. Continue Reading
By- Erin McNemar, MPA
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News
01 Sep 2021
Machine Learning Triage Tool Better Predicts Mortality in ED
A recent study shows how an interpretable machine learning tool can predict the mortality probability of emergency department patients. Continue Reading
By- Erin McNemar, MPA
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News
31 Aug 2021
Using Artificial Intelligence to Examine Biopsied Tissue Samples
Researchers created an artificial intelligence technique to enhance diagnostic tools that study biopsied tissue samples. Continue Reading
By- Erin McNemar, MPA
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News
30 Aug 2021
Using Data Analytics to Close Care Gaps, Improve Patient Outcomes
Intermountain is rethinking the role of data analytics in closing care gaps and improving patient outcomes. Continue Reading
By- Erin McNemar, MPA
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News
25 Aug 2021
Decision Analytic Model Evaluates COVID-19 Vaccine Distribution
Researchers studied methods for COVID-19 vaccine distribution using a decision analytic model. Continue Reading
By- Erin McNemar, MPA
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News
25 Aug 2021
Improving COVID-19 Vaccine Outreach with Data Analytics, EHRs
A research letter explained how data analytics and electronic health records can improve COVID-19 vaccine outreach and address health disparities. Continue Reading
By- Erin McNemar, MPA
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News
24 Aug 2021
Using Artificial Intelligence Blood Testing to Detect Lung Cancer
Researchers developed an artificial intelligence blood test to identify lung cancer in patients. Continue Reading
By- Erin McNemar, MPA
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News
23 Aug 2021
Missing Urine Tests Increases Risk for Chronic Kidney Disease
Researchers discovered that those with hypertension or diabetes are usually not given a urine test to screen for chronic kidney disease, despite being high-risk. Continue Reading
By- Erin McNemar, MPA
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News
20 Aug 2021
How Broad Data Collection Can Eliminate Health Disparities
Broad data collection can improve precision medicine, artificial intelligence, and predictive analytics to eliminate health disparities. Continue Reading
By- Erin McNemar, MPA
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News
19 Aug 2021
Prediction Model Reduces Inaccuracies in MRI Breast Cancer Screenings
Researchers developed a prediction model to decrease false positives in MRI breast cancer screenings. Continue Reading
By- Erin McNemar, MPA
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News
19 Aug 2021
Machine Learning, Natural Language Processing Addresses Bias
Researchers used machine learning and natural language processing to find bias in opioid misuse classifiers. Continue Reading
By- Erin McNemar, MPA
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News
16 Aug 2021
Residential Mobility Impacts SDOH in Spinal Cord Injury Patients
Data analytics show that residential mobility is a social determinant of health in those with spinal cord injuries. Continue Reading
By- Erin McNemar, MPA
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News
13 Aug 2021
How to Use Predictive Analytics in Chronic Disease Prevention
Providers can use predictive analytics to determine biological and socioeconomic risk factors to promote chronic disease prevention. Continue Reading
By- Erin McNemar, MPA
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Answer
12 Aug 2021
Data Analytics Addresses SDOH, Improves Length of Stay Rates
Parkview Medical Center partnered with Pieces Technology to use data analytics to identify social determinants of health and decrease length of stay rates. Continue Reading
By- Erin McNemar, MPA
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News
12 Aug 2021
Predictive Analytics Determines Throat Cancer Outcomes
Researchers used predictive analytics to project survival and recurrence outcomes in patients with newly diagnosed oropharyngeal cancer. Continue Reading
By- Erin McNemar, MPA
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11 Aug 2021
Predictive Analytics Helps Providers Address Total Cost of Care
The clinically integrated network implemented predictive data analytics to create a total cost of care plan, improving care quality. Continue Reading
By- Erin McNemar, MPA
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News
11 Aug 2021
Artificial Intelligence Predicts Metastatic Risk in Skin Cancers
Researchers using artificial intelligence developed a method to determine which skin cancers could be highly metastatic. Continue Reading
By- Erin McNemar, MPA
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Answer
10 Aug 2021
Using HCC Coding, Risk Stratification to Enhance Patient Outcomes
Community Health Network implemented HCC coding and risk stratification to improve patient outcomes. Continue Reading
By- Erin McNemar, MPA
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News
09 Aug 2021
Predictive Analytics, Blood Samples Determine COVID-19 Severity
By using predictive analytics, researchers can study blood samples to predict the severity of COVID-19 symptoms in patients. Continue Reading
By- Erin McNemar, MPA
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News
05 Aug 2021
Machine Learning Algorithm Predicts Schizophrenia Risk
Baylor researchers developed a blood test that uses a machine learning algorithm to identify epigenetic markers for schizophrenia. Continue Reading
By- Erin McNemar, MPA
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Answer
05 Aug 2021
How Data Analytics Helped Flag Pediatric Care Gaps During COVID-19
Data analytics helped the hospital recognize a decline in well-child visits and vaccination rates early in the COVID-19 pandemic. Continue Reading
By- Erin McNemar, MPA
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News
04 Aug 2021
Natural Language Processing Helps Assess COVID-19 Complications
Researchers used natural language processing to examine EHR data and determine COVID-19 related complications. Continue Reading
By- Erin McNemar, MPA
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News
02 Aug 2021
Predictive, Data Analytics Used in Genomic Tests for Prostate Cancer
By using predictive and data analytics, researchers are evaluating a genomic test to determine patients who are at high risk of aggressive prostate cancer progression. Continue Reading
By- Erin McNemar, MPA
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Answer
29 Jul 2021
How Data Analytics Helped Providence St. Joseph Address Care Delays
The chief medical analytics officer at Providence St. Joseph Health Center shares how hospital data suggested care delays during COVID-19 and how the system address patient concerns. Continue Reading
By- Erin McNemar, MPA
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News
28 Jul 2021
Deep Learning, AI Used to Advance X-ray Data Technology
Scientists are using deep learning and artificial intelligence to make X-ray data three-dimensional. Continue Reading
By- Erin McNemar, MPA
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News
28 Jul 2021
Using SDOH Data in Machine Learning to Improve Predictive Models
By incorporating social determinants of health into machine learning, predictive models can better treat cardiovascular disease in diverse populations. Continue Reading
By- Erin McNemar, MPA
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News
27 Jul 2021
Artificial Intelligence Assists with EHR Data Organization
A recent study looked at how artificial intelligence systems can be used to sort through electronic health records. Continue Reading
By- Erin McNemar, MPA
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News
26 Jul 2021
Detecting Artificial Intelligence Algorithm Bias in Cancer Treatment
Poorly trained artificial intelligence can introduce biases into cancer treatment. Continue Reading
By- Erin McNemar, MPA
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News
23 Jul 2021
Blood Testing, Predictive Analytics Determine COVID-19 Severity
Through a blood test using predictive analytics, researchers can project the severity of COVID-19 in patients. Continue Reading
By- Erin McNemar, MPA
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News
22 Jul 2021
AI Technology Protects Algorithms, Improves Patient Care
Researchers are developing new artificial intelligence techniques to protect algorithms from vulnerabilities and provide better patient care. Continue Reading
By- Erin McNemar, MPA
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News
21 Jul 2021
AI Predict Mortality Risk Using Socioeconomic, Clinical Data
Researchers created an artificial intelligence tool using socioeconomic and clinical data to predict mortality risks in patients with cancer. Continue Reading
By- Erin McNemar, MPA
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Answer
20 Jul 2021
Improving Social Determinants of Health with Predictive Analytics
UnitedHealthcare launched a predictive analytics advocacy program to improve care by addressing the social determinants of health. Continue Reading
By- Erin McNemar, MPA
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News
19 Jul 2021
Artificial Intelligence Therapy Reduces Depression and Anxiety
A new study reveals how an artificial intelligence therapy app can reduce symptoms of depression and anxiety. Continue Reading
By- Erin McNemar, MPA
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News
16 Jul 2021
Machine Learning in Healthcare Helps Prosthetic Hands Feel
A case of machine learning in healthcare shows that algorithms and liquid metal could lead to the development of prosthetic hands having the ability to feel objects. Continue Reading
By- Erin McNemar, MPA
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News
15 Jul 2021
EHR Data Boosts Machine Learning Algorithms for Chronic Disease
A study reveals the use of machine learning algorithms leveraging EHR data could assist in a patient’s lung cancer prognosis. Continue Reading
By- Erin McNemar, MPA
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News
15 Jul 2021
COVID-19 Severity Determined by Machine Learning, Predictive Analytics
Researchers used machine learning models and predictive analytics to study risk factors tied to severe cases of COVID-19. Continue Reading
By- Erin McNemar, MPA
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News
14 Jul 2021
Deep Learning, Predictive Analytics Helps Identify Chronic Diseases
By using deep learning and predictive analytics, researchers have determined who could develop age-related chronic disease based on immune system health. Continue Reading
By- Erin McNemar, MPA
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News
14 Jul 2021
Artificial Intelligence Links Anemia to COVID-19 Rehospitalization
By examining Mayo Clinic data, nference used artificial intelligence to discover a correlation between anemia and long-term symptoms of COVID-19 Continue Reading
By- Erin McNemar, MPA
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News
08 Jul 2021
Demographic Data, Predictive Analytics Shows Vaccine Program Success
A study using demographic data and predictive analytics discovers the US vaccination program prevented an additional 279,000 deaths and 1.25 million hospitalizations. Continue Reading
By- Erin McNemar, MPA
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News
06 Jul 2021
App Uses Artificial Intelligence Algorithm to Predict Alzheimer’s
Researchers are developing an app that will use an artificial intelligence algorithm to catch early signs of Alzheimer’s disease. Continue Reading
By- Erin McNemar, MPA
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News
02 Jul 2021
Machine Learning Algorithm Brings Predictive Analytics to Cell Study
A new machine learning algorithm system uses predictive analytics to determine which transcription factors are active in individual cells. Continue Reading
By- Erin McNemar, MPA
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News
30 Jun 2021
Big Data Analytics Finding Gaps in Chronic Disease Management Care
How to ensure big data analytics are trained correctly and are working to provide better chronic disease management care. Continue Reading
By- Erin McNemar, MPA
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24 Jun 2021
Data Questions Sepsis Prediction Models, Predictive Analytics
Researchers at Michigan Medicine suggest that Epic’s sepsis prediction model is less accurate than previously claimed. Continue Reading
By- Erin McNemar, MPA
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23 Jun 2021
4 Strategies for Addressing, Avoiding AI Algorithmic Bias in Healthcare
The Center of Applied AI at Chicago Booth’s playbook recommends assessing risk for AI algorithmic bias and continuously monitoring. Continue Reading
By- Erin McNemar, MPA
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News
21 Jun 2021
Deep Learning Aids Prediction of Lung Cancer Immunotherapy Response
Researchers developed a non-invasive method of predicting lung cancer immunotherapy response using deep learning and PET/CT images to measure PD-L1 biomarker levels. Continue Reading
By- Jill McKeon, Associate Editor
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News
18 Jun 2021
UCLA Receives $4.8M NIH Grant to Improve Genetic Risk Estimates
UCLA will receive a $4.8M NIH grant to establish methods of improving genetic disease risk estimates for diverse populations using genomic data. Continue Reading
By- Jill McKeon, Associate Editor
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News
17 Jun 2021
AI Chatbots for Dementia Patients Show Promise, But Need Work
Chatbots leveraging AI show potential for helping dementia patients and caregivers, but a new study reveals that more progress needs to be made. Continue Reading
By- Jill McKeon, Associate Editor
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News
16 Jun 2021
NIH Antibody Study Examines Early COVID-19 Biospecimens
An antibody study analyzed biospecimens from NIH’s All of Us Research Program and found that COVID- 19 infections appeared earlier in the US than previously reported. Continue Reading
By- Jill McKeon, Associate Editor
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News
15 Jun 2021
Deep Learning Network Predicts Adverse Cardiac Events
Researchers developed a deep learning network that can predict a patient’s risk of adverse cardiac events, including heart attacks and death, a new study reveals. Continue Reading
By- Jill McKeon, Associate Editor
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News
15 Jun 2021
From Astronomy to Pathology: Platform Enables Tumor Imaging
Researchers combined astronomy and pathology to enable tumor imaging and develop a prediction model for targeted cancer immunotherapy, a new study reveals. Continue Reading
By- Jill McKeon, Associate Editor
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News
14 Jun 2021
AI Finds Gene Expression Data to Predict COVID-19 Patient Outcomes
Researchers developed an artificial intelligence algorithm to find patterns in gene expression data and predict outcomes for COVID-19 and other viral infections. Continue Reading
By- Jill McKeon, Associate Editor
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News
14 Jun 2021
Predictive Analytics Model Forecasts Drug Overdose Deaths
Researchers developed a predictive analytics model that can predict drug-related fatality rates by county and has the potential to help manage the fentanyl epidemic. Continue Reading
By- Jill McKeon, Associate Editor
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News
10 Jun 2021
Bausch + Lomb, Lochan Develop Clinical Decision Support Software
Bausch + Lomb announced an agreement with Lochan to develop the next generation of eyeTELLIGENCE, a clinical decision support software system for eye health. Continue Reading
By- Jill McKeon, Associate Editor
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News
09 Jun 2021
Mayo Clinic Partnership Will Accelerate Artificial Intelligence
Mayo Clinic and health imaging company Visage Imaging signed a collaboration agreement to research and develop artificial intelligence in healthcare. Continue Reading
By- Jill McKeon, Associate Editor
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News
08 Jun 2021
Artificial Intelligence Enables New Colonoscopy Screening Method
Ohio State University is the first academic medical center in the nation to use a new FDA-approved artificial intelligence-driven system for colonoscopy procedures. Continue Reading
By- Jill McKeon, Associate Editor
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News
04 Jun 2021
Deep Brain Stimulation Highly Effective in Parkinson’s Patients
A recent study reveals that deep brain stimulation remains effective in Parkinson’s patients 15 years after device implantation. Continue Reading
By- Jill McKeon, Associate Editor
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News
02 Jun 2021
NYU Langone Health Announces Home-Based Brain Stimulation Program
The virtual brain stimulation program will use transcranial direct current stimulation to treat patients remotely for symptoms relating to depression, MS, and more. Continue Reading
By- Jill McKeon, Associate Editor
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News
01 Jun 2021
Machine Learning Predicts Dialysis, Death in COVID-19 Patients
A machine learning model uses predictive analytics to detect whether COVID-19 patients will need dialysis treatment or have a high risk of death. Continue Reading
By- Jill McKeon, Associate Editor
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News
01 Jun 2021
Genetic Risk Factors IDed for Depression Can Boost Drug Therapies
Researchers analyzed genomic codes of over 300K Veterans to pinpoint the genetic risk factors of depression—findings that can be used to improve drug therapies. Continue Reading
By- Jill McKeon, Associate Editor
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News
27 May 2021
Machine Learning Model Helps Predict Clinical Lab Test Results
Using wearable device data from smartwatches, machine learning may enable physicians to predict health measurements that otherwise would require invasive tests. Continue Reading
By- Jill McKeon, Associate Editor
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News
26 May 2021
Machine Learning Models Predict Gastrointestinal Bleeding
Machine learning can predict gastrointestinal bleeding in patients using antithrombotic drugs better than current risk models, a new study finds. Continue Reading
By- Jill McKeon, Associate Editor
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Answer
25 May 2021
How Big Data Insights Can Lead to Better Mental Healthcare
Using big data collected from different public systems, California's Mental Health Services Oversight and Accountability Commission delivers enhanced mental healthcare. Continue Reading
By- Jessica Kent
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News
25 May 2021
Artificial Intelligence Program Boosts Patient Satisfaction
Researchers applied artificial intelligence to machine learning algorithms to analyze patient satisfaction data and produce actionable guidance. Continue Reading
By- Jill McKeon, Associate Editor
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News
24 May 2021
Google’s Artificial Intelligence Voice Assistant Bests Siri, Alexa
Google Assistant has the most accurate artificial intelligence capabilities for providing medication information, with Siri and Alexa making swift improvements. Continue Reading
By- Jill McKeon, Associate Editor
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Feature
21 May 2021
Enhancing Population Health Approaches to Deliver Preventive Care
In the wake of COVID-19, healthcare organizations are looking to refine their population health strategies and focus on preventive care measures. Continue Reading
By- Jessica Kent
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News
19 May 2021
Predictive Analytics Model Anticipates Pediatric Blood Clots
The predictive analytics model runs within the EHR to detect pediatric patients at risk of developing blood clots. Continue Reading
By- Jessica Kent
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Answer
18 May 2021
Using Real-Time Data Analytics to Enhance Care in the NICU
Real-time data analytics tools help providers at Stanford Children’s Health deliver comprehensive, compassionate care to newborns. Continue Reading
By- Jessica Kent
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News
17 May 2021
Bias a Chief Barrier to Artificial Intelligence in Healthcare
The potential for algorithms to perpetuate bias and exacerbate disparities is a critical hurdle for artificial intelligence in healthcare. Continue Reading
By- Jessica Kent
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News
17 May 2021
Artificial Intelligence Translates Mental Handwriting into Text
An artificial intelligence software paired with a brain-computer interface decodes neural signals to convert mental handwriting to text, enabling communication for patients with spinal-cord injuries, strokes, and other conditions. Continue Reading
By- Jill McKeon, Associate Editor
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News
14 May 2021
Predictive Analytics Detects Deterioration in COVID-19 Patients
The computer program uses predictive analytics and chest X-ray imaging data to predict which COVID-19 patients are likely to contract potentially fatal complications. Continue Reading
By- Jill McKeon, Associate Editor
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News
13 May 2021
Data Analytics Resources Can Inform Population Health Efforts
Two publicly available data analytics resources can help policymakers, researchers, and other stakeholders develop improved population health strategies. Continue Reading
By- Jessica Kent
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News
11 May 2021
Deep Learning Analyzes CT Scans to Determine Cancer Type
The deep learning network could help radiologists assess lung cancer types on CT scans, leading to more personalized treatment plans. Continue Reading
By- Jessica Kent
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News
10 May 2021
Artificial Intelligence Can Help Robots Navigate the ED
The artificial intelligence algorithm can take into account how many people are gathered together in the ED and how quickly these people are moving. Continue Reading
By- Jessica Kent
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News
10 May 2021
Machine Learning Gauges Unconsciousness Under Anesthesia
A machine learning tool can accurately assess unconsciousness in patients under anesthesia. Continue Reading
By- Jessica Kent
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News
07 May 2021
Predictive Analytics Model Forecasts Disease Spread, Trends
The predictive analytics model could serve as an alternative to contact tracing for anticipating disease spread. Continue Reading
By- Jessica Kent
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News
06 May 2021
Training, Privacy Key to Artificial Intelligence Use Post-COVID
Artificial intelligence became a key public health tool during the COVID-19 pandemic, but its continued use will require increased training and privacy protections. Continue Reading
By- Jessica Kent
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News
04 May 2021
Artificial Intelligence Powers Rapid COVID-19 Antibody Test
University of Utah researchers have developed a fast, easy-to-administer COVID-19 antibody test powered by artificial intelligence. Continue Reading
By- Jessica Kent