Scientists at the Baylor College of Medicine and collaborating institutions used complementary approaches that integrate exome sequencing and evolutionary action machine learning to identify protein ...

As public health officials around the world contend with the latest surge of the COVID-19 pandemic, researchers at Drexel University have created a computer model that could help them be better ...

Researchers at EMBL’s European Bioinformatics Institute (EMBL-EBI) have developed a new machine learning method called SAVANA that significantly reduces sequencing errors for cancer genomes. Long-read ...

Genetic variants that cause rare disorders may remain elusive even after expansive testing, such as exome sequencing. The diagnostic yield of genome sequencing, particularly after a negative ...

MIT introduces Self-Distillation Fine-Tuning to reduce catastrophic forgetting; it uses student-teacher demonstrations and needs 2.5x compute.

Genomic testing based on chromosome microarray (CMA) and Next Generation Sequencing (NGS) revolutionized clinical genetics. That said, microarray, targeted panel, exome and generic whole genome ...

Researchers present a comprehensive review of frontier AI applications in computational structural analysis from 2020 to 2025 ...

The ability to synthesize and sequence vast numbers of DNA constructs is a cornerstone of modern high-throughput biological screening and discovery. As a result, the need for faster, easier, and more ...

AI protein function prediction uses machine learning models trained on sequence and structural data to infer protein roles at ...