Shillong: The department of information technology at North-Eastern Hill University (Nehu), Shillong, has developed an AI-based Landslide Susceptibili.
Among patients with chronic noncancer pain, a novel machine learning model effectively predicts opioid use disorder risk.
IEEE Spectrum on MSN
AlphaGenome deciphers non-coding DNA for gene regulation
Deep-learning model decodes the regulatory effects of DNA changes ...
Met Office on MSN
How the Met Office is exploring AI innovation
As a global centre of excellence in weather and climate science, the Met Office has always been driven by innovation.
Scientists have built an AI tool that predicts coral heat stress weeks early, giving reef managers time to act before bleaching starts.
South Korean researchers have developed a guided-learning framework that accurately predicts PV power without requiring irradiance sensors during operation, using routine meteorological data instead.
Enterprises are keen to invest in network automation, SASE, and Wi-Fi 7, and they need networking pros with skills that span ...
The UNLV Runnin' Rebels have a must-win game tonight on the road against the Fresno State Bulldogs. UNLV has dropped three games in a row, and are now looking t ...
A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...
Clinical and health care resource use burden were greater among patients with diagnosed hypereosinophilic syndrome or predicted hypereosinophilic syndrome via machine learning vs. those without the ...
Global AI In Predictive Toxicology Market size is expected to be worth around USD 4,964.3 Million by 2033 ...
A machine learning model trained on EEG data from patients recovering from strokes helps predict how new patients will regain ...
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