Coupling wastewater surveillance with a newly developed AI algorithm can help public health organizations predict potential ...

The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

The agile Earth observation satellite scheduling problem (AEOSSP) has been the subject of more research in recent years. Still, numerous researchers ignore the complex constraints of the scheduling ...

This work introduces a novel approach, a compact multitasking multichromosome genetic algorithm for Heuristic selection (HS) in OM, designed to navigate the nuanced hierarchical structure of ...

We present a high-throughput, end-to-end pipeline for organic crystal structure prediction (CSP)─the problem of identifying the stable crystal structures that will form from a given molecule based ...

Google's new multi-vector retrieval algorithm (MUVERA) improves search speed and performs better on complex queries.

Population-level genetic variation has been studied by measuring phenotypes in common gardens (10 – 12). These studies established the prevalence of clinal genetic variation along climatic gradients, ...

With around 5,000 different ethno-linguistic and religious groups, India is one of the most culturally and genetically diverse countries in the world. Yet, it remains underrepresented in genomic ...

AlphaGenome is an attempt to further smooth biologists’ work by answering basic questions about how changing DNA letters alters gene activity and, eventually, how genetic mutations affect our ...

Tailoring medicines to an individual’s genetic profile is now possible. One critical aspect is genetic testing that reduces side effects, particularly for patients on psychiatric and cardiovascular ...

AAP updates clinical guidance to help pediatricians navigate genetic evaluation of children with global developmental delay or intellectual disability.