Utilizing artificial intelligence to predict and analyze socioeconomic, environmental, and healthcare factors driving tuberculosis globally  NatureRead More

Identification and validation of a novel machine learning model for predicting severe pelvic endometriosis: A retrospective study  NatureRead More

How AI and Data Analytics Are Transforming MBA and PGDM Curricula  The Sunday Guardian LiveRead More

Development and external validation of a machine learning model to predict bronchopulmonary dysplasia using dynamic factors  NatureRead More

AI analysis for ejection fraction estimation from 12-lead ECG  NatureRead More

Predicting mortality and risk factors of sepsis related ARDS using machine learning models  NatureRead More

Application of machine learning in soil heavy metals pollution assessment in the southeastern Tibetan plateau  NatureRead More

Explainable machine learning for predicting lung metastasis of colorectal cancer  NatureRead More

LLMs Can Now Learn to Try Again: Researchers from Menlo Introduce ReZero, a Reinforcement Learning Framework That Rewards Query Retrying to Improve Search-Based Reasoning in RAG Systems  MarkTechPostRead More

The EuroCropsML time series benchmark dataset for few-shot crop type classification in Europe | Scientific Data  NatureRead More