Both approaches identified hemoglobin as one of the most significant predictors of CKD risk. Additional top-ranked features included blood urea, sodium levels, red blood cell count, potassium, and ...

Brain-Computer Interfaces (BCIs) are emerging as transformative tools that enable direct communication between the human brain and external devices. With recent advancements in Electroencephalography ...

Time series electrocardiography combined with AI predicted cardiac arrest with remarkable accuracy. Discover how this ...

How people with compromised immune systems respond to vaccines is an important area of immunological research. A study led by ...

Yale researchers have developed a machine learning model, called Immunostruct, that can help scientists create more ...

Researchers developed and validated ElasticNet machine learning models that predict 12-month MMSE and BADL outcomes in ...

University of Warwick research warns that popular deep learning systems trained for cancer pathology may be relying on hidden ...

A research team funded by the National Institutes of Health (NIH) has developed a versatile machine learning model that could one day greatly expand what medical scans can tell us about disease.

In light of the Ministry of Gender, Children, Disability and Social Welfare’s recent press release on the commemoration of International Women’s Day 2026, it is clear that civil society organizations ...

The hard truth is that Malawi’s judiciary is a compromised arm of government which is politically charged and often delivers judgments through the lens of political interests rather than the impartial ...