Abstract Since the past decades, more lung cancer patients have been experiencing lasting benefits from immunotherapy.It is imperative to accurately and intelligently select appropriate patients for immunotherapy or predict the immunotherapy efficacy.In recent years, machine learning (ML)-based artificial intelligence (AI) Swabs was developed in th
Sillago species lives in the demersal environments and face multiple stressors, such as localized oxygen depletion, sulfide accumulation, and high turbidity.In this study, we performed transcriptome analyses of seven Sillago species to provide insights into the phylogeny and positively selected genes of this species.After de novo assembly, 82,024,
Finding, exploring and filtering frequent sentence-based associations between a disease and a biomedical entity, co-mentioned in disease-related PubMed literature, is a challenge, as the volume of publications increases.Darling is a web application, which utilizes Name Entity Recognition to identify human-related biomedical terms in PubMed Cold The
The analytical investigation delves into the intricate interplay between radiation, magnetic Backpack fields, and convective nanofluid flow within a rotating system that is subject to a heat source.The velocity along the plate is postulated to undergo oscillatory motion in the temporal domain, exhibiting a uniform frequency.In this particular exper