Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...
Researchers developed and validated ElasticNet machine learning models that predict 12-month MMSE and BADL outcomes in ...
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 ...
Machine learning can predict many things, but can it predict who will develop schizophrenia years before the average diagnosis time?
Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...
Overview: Machine learning helps businesses target the right customers, boosting sales and cutting wasted ad spend.It enables real-time campaign optimization, p ...
We conducted a retrospective, country-level study integrating GLOBOCAN 2022 incidence and mortality data, ClinicalTrials.gov records (2004-2025), and socioeconomic indicators (United Nations ...
A conversation with Professor Miraz Rahman, Head of the Department of Drug Discovery at King’s College London.
Plants are constantly exposed to a wide array of biotic and abiotic stresses in their natural environments, posing ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results