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 ...

Anna Gragert (she/her/hers) was previously the lifestyle editor at HelloGiggles, deputy editor at So Yummy and senior lifestyle editor at Hunker. Over the past 10+ years, Anna has also written for the ...

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

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...

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

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

Researchers are using artificial intelligence to perfect the design of the vessels surrounding the super-hot plasma, optimize heating methods and maintain stable control of the reaction for ...

African Mining Week will feature high-level panel discussions and project showcases, linking global investors with Africa’s mining sector priorities and lucrative investment and partnership ...

LAGOS-(MaraviPost)-World football governing body FIFA has dismissed a petition filed by the Nigeria Football Federation (NFF) challenging the outcome of the 2026 World Cup CAF playoff final against DR ...

BACKGROUND: Mental stress-induced myocardial ischemia is often clinically silent and associated with increased cardiovascular risk, particularly in women. Conventional ECG-based detection is limited, ...

Advances in imaging, procedural customization, and artificial intelligence are transforming uterine fibroid embolization into ...