Results 151 to 160 of about 2,402,439 (196)

Establishing One Health Surveillance Platform for Electronic Integrated Disease Surveillance and Response in Malawi: Action Design Research Study. [PDF]

JMIR Public Health Surveill
Wu TJ, Mvula MV, Chado EKK, Kamanga BN, Mapemba DD, Billy RE, Nyirongo L, Mwale AC, Banda EC, Kagoli M, Manda TD, Bjune GA, Kaasbøll JJ.   +12 more
europepmc   +1 more source

Robot‐Assisted Measurement of the Critical Micelle Concentration

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The study introduces (SIMO) smart integrator for manual operations, a robotic platform for precise, repeatable determination of (CMC) critical micelle concentration in surfactants. SIMO reduces standard deviation by 80% compared to manual methods. Surfactant, dye, and diluent selection, robotic protocols, and data handling are detailed.
Vincenzo Scamarcio, Gadi Slor, Josie Hughes, Francesco Stellacci   +3 more
wiley   +1 more source

Targeting Psychological Pain After a Suicide Attempt: Scoping Review and Intervention Protocol. [PDF]

J Clin Med
Comendador L, Palao DJ, Sanz A, Andreo-Jover J, Baca-García E, Barrigón ML, Bobes-Bascarán MT, Botí MÁ, Diaz-Marsá M, Elices M, Gaona-Casas A, González-Pinto A, Grande I, Jiménez-Treviño L, Palao-Tarrero Á, Pedrola-Pons A, Roberto N, Saiz PA, Suarez-Soto E, de la Torre-Luque A, The Survive Consortium, Alacreu-Crespo A, Cebrià AI, Perez-Sola V.   +23 more
europepmc   +1 more source

Smart Bioinspired Material‐Based Actuators: Current Challenges and Prospects

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This work gathers, in a review style, an extensive and comprehensive literature overview on the development of autonomous actuators based on synthetic materials, bringing together valuable knowledge from several studies. Furthermore, the article identifies the fundamental principles of actuation mechanisms and defines key parameters to address the size
Alejandro Palacios, Léon Chiriatti, Simon Poppinga, Thomas Speck, Vincent Le Houérou   +4 more
wiley   +1 more source

Operationalizing Alzheimer's disease trials in the era of targeted therapies. [PDF]

Alzheimers Dement
Pillai JA, Alladi S, Appleby BS, Brosch JR, Frederiksen KS, Galasko D, Lopez OL, Leverenz JB, Saykin AJ, Schott JM, Seshadri S, Tousi B, Wolk DA.   +12 more
europepmc   +1 more source

Large Language Model‐Based Chatbots in Higher Education

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci, Merve Eryilmaz, Ail K. Yetisen, Savas Tasoglu, Aydogan Ozcan   +4 more
wiley   +1 more source

Clonal lineage tracing of innate immune cells in human cancer. [PDF]

Cancer Cell
Liu V, Sandor K, Yan PK, Miao Z, Yin Y, Stickels RR, Chen AY, Hiam-Galvez K, Gutierrez J, Zhang W, Sajjath SM, Valbuena R, Wang S, Daniel B, Ludwig LS, Howitt BE, Lareau CA, Satpathy AT.   +17 more
europepmc   +1 more source

Integrating Reinforcement Learning With Explainable Artificial Intelligence for Real‐Time Clinical Decision Support in Dynamic Healthcare Environments

Advanced Intelligent Systems, EarlyView.
A hybrid Reinforcement Learning–Explainable AI framework integrates SHAP and LIME explanations directly into a Deep Q‐Network inference loop for real‐time ICU decision support. Trained on 18 142 mechanically ventilated stays from the eICU database, the system attains 93.0% decision accuracy, 20% fewer errors than RL alone, and a 91% clinician trust ...
Jannatul Ferdaus Disha, MD Faiaz Zaman Dehan, Kazi Md. Tanvir Anzum   +2 more
wiley   +1 more source

The Multifaceted Role of Androgen Receptor Signaling in Immunity: Implications for Oncology. [PDF]

Mol Cancer Res
Lee P, Nelson PS.
europepmc   +1 more source

Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers

Advanced Intelligent Systems, EarlyView.
Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica, Kostya S. Novoselov, Seongmin Kim, Yousung Jung, Silvana Botti, Miguel A. L. Marques, Tigany Zarrouk, Miguel A. Caro, Sanggyu Chong, Michele Ceriotti, Marivi Fernandez‐Serra, Sara Navarro‐Rodriguez, Aakash Ashok Naik, Janine George, Ömer Hasan Omar, Victor Trinquet, Gian‐Marco Rignanese, Andrey Ustyuzhanin, Sonia Conesa‐Boj, Juan Rojo, Minh‐Tuan Dau, Simon M.‐M. Dubois, Jean‐Christophe Charlier, Jose H. Garcia, Romain Gautier, Rachid Laref, Junfeng Qiao, Giovanni Pizzi, Nicola Marzari, Camilla Coletti, Antonio Rossi, Jan‐Lucas Uslu, Chiara Zanardi, Vincenzo Palermo, Wide Hogenhout, Natalia Konchakova, Peter Klein, Tejs Vegge, Stephan Roche   +38 more
wiley   +1 more source