Changes in our genes affect health risks from heart disease to cancer, but how those genes are turned on and off is just as ...

Antimicrobial resistance phenotype prediction (AMRPP) provides a computational alternative to conventional susceptibility testing. While most studies focus on single antibiotics, systematic ...

Having discovered the unexpected scope of the problem, Zang and his team developed PATTY (Propensity Analyzer for Tn5 Transposase Yielded bias), a tool that uses machine learning to correct the ...

Machine learning is accelerating target identification, toxicity prediction and drug repurposing, but researchers insist ...

A new genomic study combining population genetics and machine learning reveals that Chinese Kirghiz sheep are genetically ...

GeneDx, the leader in rare disease diagnosis and improving health through the power of genomic data, today announced 27 accepted scientific abstracts at the American Society of Human Genetics (ASHG) ...

Early detection of lung cancer in smokers using miRNA profiles and a hybrid deep learning framework. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does not ...

A new AI model shows promise for predicting genetic ALS risk regardless of family history or known mutations. Capsule Networks can distinguish people with ALS from unaffected individuals, with a high ...

In a comprehensive Genomic Press interview, Stanford University researcher Eric Sun reveals how machine learning is revolutionizing our understanding of brain aging at an unprecedented cellular ...

The data shows that variants predicted to affect microexons are predominant in the 85% of autistic individuals that lack a genetic link.

Available online and on campus, the Master of Science in Applied Data Analytics concentration in AI & Machine Learning at Boston University’s Metropolitan College (MET) provides intensive exploration ...