It was 2.8 times higher for LGB+ 16 to 24-year-olds, more than any other age group, though all ages had a statistically significant elevated risk, including people aged 65 and over (1.6 times higher).

An AI model may help identify children at higher risk for developing hospital-acquired venous thromboembolism, according to a presenter at AIMed24 Annual Meeting.However, research into the ...

The researchers say the algorithm, designed specifically for female patients, could enable doctors to identify high-risk women earlier, enabling better treatment and care.

Higher cancer stage and IPI risk were associated with MRD positivity (both P < .05), and ctDNA was the most strongly prognostic of PFS (HR, 11.03), compared with end-of-treatment PET-CT results ...

"AI model can read ECGs to identify female patients at higher risk of heart disease." ScienceDaily. ScienceDaily, 25 February 2025. <www.sciencedaily.com / releases / 2025 / 02 / 250225201227.htm>.