The study by researchers at Benha University shows that cost overruns in Egyptian road projects are mainly caused by unclear ...
In Week 11, I explained the difference between anticipated regression and the so-called "Gambler's fallacy", and in Week 12, ...
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AI model can predict a person's disease risk using sleep data
A poor night's sleep portends a bleary-eyed next day, but it could also hint at diseases that will strike years down the road ...
A poor night's sleep portends a bleary-eyed next day, but it could also hint at diseases that will strike years down the road ...
SportsLine's model simulates every game 10,000 times and reveals its NFL picks today for spread, over/under and money line ...
Michael O. Lawanson, a Nigerian data scientist at the University of Arkansas, United States, is at the forefront of global ...
A research team demonstrates that hyperspectral sensing, combined with advanced artificial intelligence, can accurately estimate multiple biochemical and mineral traits in grapevine leaves at once.
Food-insecure individuals have fewer total annual visits (in-person and via telehealth) across 4 types of office-based and outpatient visits: general checkup, diagnosis or treatment, psychotherapy or ...
Researchers have developed a new prediction tool that could help clinicians better assess whether complete tumour removal is ...
Batherson rang in the new year with a rare fight and hopes to carry his impressive December numbers into the new year.
From agentic AI to vibe coding, here are 15 predictions that will define how small businesses use AI in 2026 and beyond.
Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...
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