A machine learning technique can quickly estimate the binding affinities between drug candidates and their targets, potentially accelerating drug discovery and protein engineering, a study published in...
A newly-developed sensor can evaluate transmissions in the brain at both the microscopic and the nanoscopic level, accelerating Alzheimer’s precision medicine, according to a study published in...
Using data from RNA sequencing, a team from the Icahn School of Medicine at Mount Sinai has detected three molecular subtypes of Alzheimer’s disease that could advance precision medicine...
Machine learning and real-world data could help researchers identify new uses for existing drugs, leading to accelerated drug repurposing, according to a study published in Nature Machine...
A new tool that focuses on RNA could accelerate the development of precision medicine treatments for incurable diseases, including a type of metastatic breast cancer, according to a study published in...
A gene expression database analyzed different strains of the bacteria that causes pneumonia, meningitis, and middle ear infections, which could lead to new treatments for these conditions and curb...
Artificial intelligence tools examined a kind of vaccine similar to new COVID-19 vaccines and revealed that it could be less effective in people of black or Asian ancestry, according to a study...
Children’s Hospital of Pennsylvania (CHOP) and Gustave Roussy, a cancer research organization based in France, have received a $1.3 million grant from neuroblastoma clinical research charities to...
A deep learning tool can offer more information about SARS-CoV-2 proteins to accelerate COVID-19 drug discovery, according to a study published in Chemical Science.
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Genetic sequencing can help monitor mutations in COVID-19, potentially improving diagnostic testing and transmission tracking, a study published in Cell Reports revealed.
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An emerging method builds error and uncertainty into artificial intelligence models, ultimately leading to more efficient, precise tools in many areas of research – including...
A team at the Perelman School of Medicine at the University of Pennsylvania will leverage artificial intelligence to find patterns in genetic, imaging, and clinical data from over 60,000...
Predictive analytics models that evaluate genetic and experimental data could more accurately forecast which flu strains will be most prevalent during the next winter, according to a study published in...
Since COVID-19 has entered and spread across the US, healthcare researchers have aimed to learn everything they can about the virus.
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The San Antonio Partnership for Precision Therapeutics (SAPPT) has announced the funding of three projects that will accelerate treatments for COVID-19 using precision medicine principles.
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An open-source machine learning tool identified proteins associated with adverse drug side effects, providing insight into how the human body responds to drug compounds at the molecular level, a study...
The Department of Defense (DoD) is seeking to use money provided by Congress under the CARES Act to leverage artificial intelligence technology for COVID-19 vaccines.
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Researchers from Penn State College of Engineering are aiming to speed COVID-19 drug discovery with quantum machine learning, a field that combines machine learning and quantum physics.
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As COVID-19 has made its way across the US and around the world, healthcare stakeholders from all areas of the industry have prioritized containing the outbreak. Leaders at all levels have utilized...
A team from the University of Wisconsin-Madison has uncovered a gene involved in regulating the body’s cholesterol, which could help advance precision medicine treatments for heart disease and...
