Design of BCC/FCC dual-solid solution refractory high-entropy alloys through CALPHAD, machine learning and experimental methods  NatureRead More

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

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

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

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

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

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

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

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