Drug Development

Machine learning characterizes cardiac function, drug response

April 15, 2024 - Columbia University researchers have developed a machine learning-based approach to assess cardiac function and drug response, according to a study published recently in IEEE Open Journal of Engineering in Medicine and Biology. The research team indicated that understanding heart function and testing new drugs to treat cardiac diseases is both...

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Machine Learning Model May Help Optimize Therapeutic Antibodies

by Shania Kennedy

Researchers at the University of Michigan have developed a machine learning (ML) model to help optimize therapeutic antibodies and make them less prone to binding non-target molecules, according to a...

AI and Machine Learning Hold Potential in Fighting Infectious Disease

by Mark Melchionna

A new study described that despite the continued threat of infectious diseases on public health, the capabilities of artificial intelligence (AI) and machine learning (ML) can help handle this issue...

Generative AI May Accelerate Drug Discovery for COVID Antivirals

by Shania Kennedy

Researchers have developed a generative artificial intelligence (AI) model capable of designing novel molecules to block SARS-CoV-2, the virus that causes COVID-19, according to a study published in...

Generative Artificial Intelligence Tool May Support Drug Development

by Shania Kennedy

Researchers have developed a generative artificial intelligence (AI)-based framework known as G2Retro to automatically generate chemical reactions for given molecules, which could accelerate the drug...

Johns Hopkins AI Collab to Boost Patient Enrollment in Brain Injury Trial

by Shania Kennedy

The BIOS Clinical Trials Coordinating Center (BIOS CTTC) at Johns Hopkins University is partnering with intelligent care coordination software company Viz.ai to boost patient enrollment for the...

PA Hospital Launches Data Platform for Pediatric Cancer Drug Development

by Shania Kennedy

Children's Hospital of Philadelphia (CHOP) has announced the launch of a new analytics platform that will use pediatric cancer data to streamline and accelerate cancer drug development. With...

AHRQ Program Helped Long-Term Care Facilities Reduce Antibiotic Use

by Mark Melchionna

Researchers from Johns Hopkins Medicine and NORC at the University of Chicago found that the Agency for Healthcare Research and Quality's (AHRQ) Safety Program for Improving Antibiotic Use is...

Vanderbilt Strikes Precision Medicine Partnership to Fight Brain Diseases

by Mark Melchionna

Vanderbilt University has entered into a research collaboration with Neumora Therapeutics, a clinical-stage biotechnology company specializing in brain disease medicine. The collaboration focuses on...

Developing Recommended Practices For Analyzing EHR Databases

by Erin McNemar, MPA

As electronic health records continue to grow in healthcare, scientists must have a uniform set of recommendations to conduct research and analyze data. In a collaborative effort, the University of California, Irvine School of Pharmacy...

Blood Enzyme Activity Predicts Chronic Disease Progression

by Erin McNemar, MPA

SWOG Cancer Research Network researchers have discovered that blood enzyme activity levels could determine the chronic disease progression of breast cancer.  The study indicated that patients...

Why Genetic Testing Is Key to Advancing Precision Medicine

by Erin McNemar, MPA

Due to genetics, not every patient responds the same to medications. With genetic testing, providers can better determine the best treatment options for individuals, advancing precision...

Precision Medicine Test Predicts Patient Response to Treatment

by Erin McNemar, MPA

A new study indicated that a precision medicine test using blood proteins can identify patients with idiopathic multicentric Castleman disease (iMCD) and are most likely to respond to treatment. The...

Developing Precision Medicine for Chronic Kidney Disease

by Erin McNemar, MPA

In a genome-wide association study, Perelman School of Medicine at the University of Pennsylvania researchers identified 182 genes potentially linked to kidney function and 88 genes for hypertension....

Genetics Gives Insights into Precision Medicine for Mental Health 

by Erin McNemar, MPA

Researchers at Columbia University Vagelos College of Physicians and Surgeons have discovered a possible breakthrough in mental health precision medicine by finding a correlation between a distinct...

Genetic Risk Factors IDed for Depression Can Boost Drug Therapies

by Jill McKeon

Using genomic data, researchers identified genetic risk factors for depression, according to a study published in Nature Neuroscience. The results show potential for identifying new drug therapies and...

$10.7M Grant Will Support Study of Genomic Data in Alzheimer’s

by Jessica Kent

The University of Pittsburgh Graduate School of Public Health and Washington University School of Medicine in St. Louis will lead a five-year, $10.7 million project that will explore the role of...

Genomic Data May Advance Lung Cancer Precision Medicine

by Jessica Kent

A study of genomic data in patients with advanced small-cell lung cancer provided new insights into the patterns of treatment resistance, potentially paving the way for precision medicine...

How Precision Medicine Approaches Could Impact Mental Healthcare

by Jessica Kent

While the healthcare industry has leveraged precision medicine approaches in areas ranging from cancer to Alzheimer’s disease, recently researchers have focused on the potential for targeted...

Genetic Data Identifies Drug Targets to Treat Early COVID-19

by Jessica Kent

An analysis of genetic data indicates that leaders should prioritize clinical trials of two proteins – IFNAR2 and ACE2 – to better treat COVID-19 in its early stages. In a study published...

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