Results 171 to 180 of about 2,891,099 (365)

Beyond digital twins: the role of foundation models in enhancing the interpretability of multiomics modalities in precision medicine

open access: yesFEBS Open Bio, EarlyView.
This review highlights how foundation models enhance predictive healthcare by integrating advanced digital twin modeling with multiomics and biomedical data. This approach supports disease management, risk assessment, and personalized medicine, with the goal of optimizing health outcomes through adaptive, interpretable digital simulations, accessible ...
Sakhaa Alsaedi   +2 more
wiley   +1 more source

Cocreated regional research agenda for evidence-informed policy and advocacy to improve adolescent sexual and reproductive health and rights in sub-Saharan Africa

open access: yesBMJ Global Health, 2021
Anthony Idowu Ajayi   +10 more
doaj   +1 more source

Bioengineering facets of the tumor microenvironment in 3D tumor models: insights into cellular, biophysical and biochemical interactions

open access: yesFEBS Open Bio, EarlyView.
The tumor microenvironment is a dynamic, multifaceted complex system of interdependent cellular, biochemical, and biophysical components. Three‐dimensional in vitro models of the tumor microenvironment enable a better understanding of these interactions and their impact on cancer progression and therapeutic resistance.
Salma T. Rafik   +3 more
wiley   +1 more source

Understanding and Overcoming Immunotherapy Resistance in Skin Cancer: Mechanisms and Strategies

open access: yesAging and Cancer, EarlyView.
This narrative review explores the mechanisms driving immunotherapy resistance in skin cancer, including tumor microenvironment factors, genetic mutations, and immune evasion strategies. It highlights potential strategies to overcome resistance, offering insights for improving therapeutic outcomes and guiding future research in personalized ...
Shreya Singh Beniwal   +8 more
wiley   +1 more source

Enhanced dose prediction for head and neck cancer artificial intelligence‐driven radiotherapy based on transfer learning with limited training data

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Training deep learning dose prediction models for the latest cutting‐edge radiotherapy techniques, such as AI‐based nodal radiotherapy (AINRT) and Daily Adaptive AI‐based nodal radiotherapy (DA‐AINRT), is challenging due to limited data.
Hui‐Ju Wang   +5 more
wiley   +1 more source

Dynamics of Population [PDF]

open access: yesAmerican Journal of Public Health and the Nations Health, 1935
openaire   +4 more sources

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