Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.
A machine learning-driven framework accurately predicts MPA exposure and supports individualized dosing in childhood-onset LN.
Read more about AI-driven air quality system promises faster, more reliable urban health warnings on Devdiscourse ...
Using longitudinal data on more than 370 000 older Japanese adults, we found that living in constituencies represented by pro-tobacco legislators was associated with higher smoking prevalence. The ...
Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...
Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), which significantly increases their risk of poor outcomes. However, current ...
5d
Black Forest Labs' new Self-Flow technique makes training multimodal AI models 2.8x more efficient
This efficiency makes it viable for enterprises to move beyond generic off-the-shelf solutions and develop specialized models ...
The State Enterprise Forests of Ukraine plans to implement over 60 projects for the construction and reconstruction of forest roads in 2026 with a total length of over 200 km, the company’s press ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results