Proteins, one of the smallest building blocks of life on Earth, hold promise for answering some of biology's biggest ...

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 ...

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 ...

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 ...

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 ...

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

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

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