Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
[Social determinants of therapeutic adherence among users of the primary health care system's cardiovascular health program in ChileDeterminantes sociais da adesão terapêutica entre usuários do programa de saúde cardiovascular na atenção primária à saúde do Chile]. [PDF]
Herrera Atton D +6 more
europepmc +1 more source
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source
This study introduces a biomarker‐agnostic diagnostic strategy for ovarian cancer, utilizing a machine learning‐enhanced electronic nose to analyze volatile organic compound signatures from blood plasma. By overcoming the dependence on specific biomarkers, this approach enables accurate detection, staging, and cancer type differentiation, offering a ...
Ivan Shtepliuk +4 more
wiley +1 more source
Determinantes sociales de las enfermedades
openaire +1 more source
[Social determinants, the urban environment, and public safety policies: a spatial ecological and time-series analysis of Santiago de Cali, Colombia, 2015-2024Determinantes sociais, ambiente urbano e políticas de segurança: análise ecológica espacial e de séries temporais em Santiago de Cali, Colômbia, 2015-2024]. [PDF]
Pinzón-Flórez CE +2 more
europepmc +1 more source
Leadership, social determinants of health and health equity: the case of Costa Rica. [PDF]
Campbell Barr E, Michael M.
europepmc +1 more source
Abstract Germany's Renewable Energy Sources Act (REA), enacted in 2000 and subsequently amended, subsidized national renewable energy production with fixed feed‐in tariffs for renewable energy sources (RE) from wind, solar, and biogas. Empirical studies suggest that the policy was creating windfall effects for landowners and attribute farmland use ...
Lars Isenhardt +6 more
wiley +1 more source
[Social, commercial and environmental determinants of health: The challenge of promotion and prevention]. [PDF]
Bartolomé-Moreno C +2 more
europepmc +1 more source

