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Chiral 2D metal halide perovskites (MHPs) are among the most promising materials for future technologies that exploit the ...

Background: Preoperative endometrial cancer (EC) diagnosis often depends on radiologists’ expertise, which introduces subjectivity. Recent studies have explored radiomics-based machine learning (ML) ...

Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...

This review explains how soft materials, scalable manufacturing, energy-efficient hardware, and AI are converging to create ...

Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...

Abstract: The Internet of Things (IoT) is playing a vital role in the rapid automation of the healthcare sector. The branch of IoT dedicated towards medical science is at times termed as Healthcare ...

The Council for the Indian School Certificate Examinations (CISCE) has released the ISC Computer Science (Subject Code - 868) ...

Abstract: With the advancement in artificial intelligence (AI) and machine learning (ML) techniques, researchers are striving towards employing these techniques for advancing clinical practice. One of ...

Leaf functional traits—chlorophyll (CHL), carotenoid (CAR), equivalent water thickness (EWT), nitrogen (N), and leaf mass per ...

July 3, 2026 Scientists at UCLA discovered a surprising reason aging muscles heal more slowly. In older muscle stem cells, a protein called NDRG1 builds up and acts like a brake, slowing the cells’ ...