Results 201 to 210 of about 393,475 (314)

الحد من الشرب المبكر واضرار تناول الكحول عند الشباب في لبنان

open access: yes, 2017
الموجز المعرفي للسياسات الصحية.يتضمن مراجع بيبليوجرافية (صفحات 20-28)K2P Policy Briefs bring together global research evidence, local evidence and context-specific knowledge to inform deliberations about health policies and programmes.
Saleh, Rana   +7 more
core  

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

open access: yesAdvanced Intelligent Discovery, EarlyView.
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

Medical Cannabis: Toward a New Policy and Health Model for an Ancient Medicine

open access: yesFrontiers in Public Health, 2022
Davide Fortin   +4 more
doaj   +1 more source

Germany's cannabis act: a catalyst for European drug policy reform? [PDF]

open access: yesLancet Reg Health Eur
Manthey J, Rehm J, Verthein U.
europepmc   +1 more source

How academics and service providers are working together to inform drug policy in Ireland.

open access: yes, 2018
Since 2015, the LSE’s International Drug Policy Unit has been working with local partners the Ana Liffey Drug Project to help foster a new era of progressive drug policies in Ireland.
Duffin, Tony
core  

AI‐Guided Co‐Optimization of Advanced Field‐Effect Transistors: Bridging Material, Device, and Fabrication Design

open access: yesAdvanced Intelligent Discovery, EarlyView.
This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath   +4 more
wiley   +1 more source

Autonomous AI‐Driven Design for Skin Product Formulations

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang   +5 more
wiley   +1 more source

Home - About - Disclaimer - Privacy