Results 101 to 110 of about 23,037 (264)

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

Advanced Intelligent Discovery, EarlyView.
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley   +1 more source

Interpretable Machine Learning for Bandgap Prediction and Descriptor‐Guided Design Rules of Phosphates

Advanced Intelligent Discovery, EarlyView.
An explainable CatBoost model was trained to predict the bandgaps of 474 phosphate crystals based on composition and density descriptors. SHAP analysis identified two key variables—d‐electron‐count dispersion and atomic‐density dispersion—as the primary drivers of the model's predictions.
Wenhu Wang, Abudukadi Tudi, Ran An, Zhihua Yang   +3 more
wiley   +1 more source

Risque industriel, du risque improbable à la démocratie du risque

, 2003
L’explosion de l’usine AZF à Toulouse a eu un impact majeur sur la perception par les citoyens des risques industriels. Ainsi, il ne suffit plus aujourd’hui d’affirmer qu’un risque est "improbable" pour que cela sécurise et satisfasse les citoyens. Le risque doit être partagé en conscience avec ceux situés dans son environnement.
openaire   +2 more sources

Enhancing Sensitivity across Scales with Highly Sensitive Hall Effect‐Based Auxetic Tactile Sensors

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Herein, a tactile sensor based on hall‐effect sensors with an auxetic structure, called Hall effect‐based auxetic tactile sensor (HEATS), is proposed. The change in magnetism resulting from the deformation of the auxetic structure is utilized for sensing.
Youngheon Yun, Dongchan Lee, Soyeon Lee, Salvador Pané, Josep Puigmartí‐Luis, Sungwoo Chun, Bumjin Jang   +6 more
wiley   +1 more source

A Review on Recent Trends of Bioinspired Soft Robotics: Actuators, Control Methods, Materials Selection, Sensors, Challenges, and Future Prospects

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This article reviews the current state of bioinspired soft robotics. The article discusses soft actuators, soft sensors, materials selection, and control methods used in bioinspired soft robotics. It also highlights the challenges and future prospects of this field.
Abhirup Sarker, Tamzid Ul Islam, Md. Robiul Islam   +2 more
wiley   +1 more source

Robust Reinforcement Learning Control Framework for a Quadrotor Unmanned Aerial Vehicle Using Critic Neural Network

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai, Yefeng Yang, Tao Huang, Boyang Li   +3 more
wiley   +1 more source

Prise en charge de la multimorbidité cœur–cerveau : un guide de pratique clinique. [PDF]

CMAJ
Edwards JD, Li Z, McFarlane P, Rabi DM, Gilbert J, Bajaj HS, MacIntosh BJ, Bittman J, Feldman RD, Dresser G, Terenzi K, Swartz R, Gabor J, Pearson GJ, Selby P, Wharton S, Warburton DER, Pakhalé S, Styra R, Baker B, Tu K, Hawkins M, Stone JA, Vaillancourt T, Poon S, Virani SA, Jain R, Jones PH, Sandhu RK, Ganesh A, Andrade JG, Stern S, Habert J, Rivard L, Roumeliotis P, Udell JA, Campbell T, Bacon SL, Trudeau L, Keshavjee K, Pham T, Cheng G, Lewis KB, Maar M, Stacey D, Oldenburg B, Dhukai AR, Pasricha SV, Sherifali D, Racey M, Hua-Stewart D, Gravel CA, Lewis M, Mehta S, Hill MD, Haider N, Lindsay P, Liu P, Tobe SW.   +58 more
europepmc   +1 more source

A risque !

À claire voie, 2015
openaire   +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

L’hypotension orthostatique chez les personnes atteintes de la maladie de Parkinson. [PDF]

CMAJ
Zhu X, Liu J, Krassioukov A.
europepmc   +1 more source