Researchers Design Multiclass Cancer Diagnostic Tool Using AI, MicroRNA

MicroRNAs, or miRNAs, regulate genes and biological processes in the human body, including cancer formation and development. To explore the feasibility of miRNAs as cancer biomarkers, researchers created a multiclass cancer diagnostic model using miRNA expression profiles. The study examined the relationship between the composition of miRNAs and various types of cancers. Findings suggest that miRNAs may be highly unique to specific cancerous tissues and can be strong biomarkers for detection and classification in both research and the clinical field

Supercomputers Help Advance Computational Chemistry

Researchers at the Massachusetts Institute of Technology (MIT) have succeeded in developing an artificial intelligence (AI) approach to detect electron correlation – the interaction between a system’s electrons – which is vital but expensive to calculate in quantum chemistry.

Mount Sinai Researchers Build Models Using Machine Learning Technique to Enhance Predictions of COVID-19 Outcomes

Mount Sinai researchers have published one of the first studies using federated learning to examine electronic health records to better predict how COVID-19 patients will progress.