Results 151 to 160 of about 2,949,247 (302)

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Institutional approaches to artificial intelligence policy and guidance in health informatics and information management education: emerging trends and inconsistencies. [PDF]

J Am Med Inform Assoc
Eldredge C, Dolezel D, Jones J, Vooppala N, Bronsburg SE.   +4 more
europepmc   +1 more source

Data‐Driven Materials Science for Energy‐Sustainable Applications

Advanced Materials, EarlyView.
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley   +1 more source

Public health policies for children and youth with special health care needs in OECD member countries and Brazil: A scoping review. [PDF]

PLoS One
Gimenes ÂCR, Magalhães BS, Cury ERJ.
europepmc   +1 more source

Membrane‐Bound Multimodal Plasmonic Transducers for Noninvasive, In Situ Monitoring and Control of CAR T Cells Against Heterogeneous Solid Tumors

Advanced Materials, EarlyView.
Membrane‐bound multimodal transducers enable longitudinal ultrasound‐guided photoacoustic monitoring and in situ thermal control of CAR T cells in heterogeneous solid tumors. Imaging correlates T cell trafficking with tumor response, distinguishing responders from nonresponders.
Myeongsoo Kim, Ali Zamat, Melissa Cadena, Chloé Thiveaud, Riya Sen, Jeungyoon Lee, Elif Kulaksizoglu, S. Abbey Oliver, Don VanderLaan, Sydney Fábrega, Zizhen Zha, Kelsey P. Kubelick, Jinhwan Kim, Gabriel A. Kwong, Stanislav Y. Emelianov   +14 more
wiley   +1 more source

US jail and prison institutional research policies: a lever in access to research for incarcerated people. [PDF]

Lancet Reg Health Am
Jack HE, Wolfer-Jenkins C, Senter Z, Ahsan E, Arif S, Porter KM, Duenas DM, Saloner B, Wurcel A, Berk J.   +9 more
europepmc   +1 more source

Artificial Intelligence Meets Micro/Nanorobotics

Advanced Materials, EarlyView.
Artificial intelligence is transforming micro‐ and nanorobots from externally controlled, task‐specific machines into adaptive, autonomous systems. Machine learning, multimodal perception, digital twins, AI‐guided materials and geometry design enhance propulsion, localization, decision‐making, whichaccelerates clinical and environmental applications ...
Fatma M. Yurtsever, Minitha Cherukutty Ramakrishnan, Ian Kuula Ross, Ivan Zelinka, Hamed Shahsavan, Michal Otyepka, Martin Pumera   +6 more
wiley   +1 more source

Scalable Task Planning via Large Language Models and Structured World Representations

Advanced Robotics Research, EarlyView.
This work efficiently combines graph‐based world representations with the commonsense knowledge in Large Language Models to enhance planning techniques for the large‐scale environments that modern robots will need to face. Planning methods often struggle with computational intractability when solving task‐level problems in large‐scale environments ...
Rodrigo Pérez‐Dattari, Zhaoting Li, Robert Babuška, Jens Kober, Cosimo Della Santina   +4 more
wiley   +1 more source

Quantitative assessment of china's policies on the online sale of prescription drugs. [PDF]

PLoS One
Zhang Y, Zhang Y, Zhao C, Xu X, Wang G, Xie X.   +5 more
europepmc   +1 more source

The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?

Advanced Robotics Research, EarlyView.
Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley   +1 more source