Results 131 to 140 of about 241,041 (317)

Predicting Pharmacological Treatment Response in Migraine Using AI/ML: A Scoping Review of the Evidence and Future Directions

Pharmacotherapy: The Journal of Human Pharmacology and Drug Therapy, EarlyView.
ABSTRACT The treatment of migraine is hampered by inter‐individual variability, leading to an inefficient “trial and error” approach. Artificial intelligence (AI) and machine learning (ML) offer a path towards precision medicine by predicting therapeutic outcomes.
Martina Giacon, Salvatore Terrazzino
wiley   +1 more source

Brownotate, a Comprehensive Solution to Generate Protein Sequence Databases for Any Species

PROTEOMICS, EarlyView.
ABSTRACT Proteomics is strengthening research in biology and the diversification of the model organisms studied is very promising for fully understanding the complexity of biological principles. However, the lack of protein sequence databases for many species is a major bottleneck.
Adrien Brown, Alexandre Burel, Sarah Cianférani, Christine Carapito, Fabrice Bertile   +4 more
wiley   +1 more source

Data assimilation with extremum Monte Carlo methods

Quarterly Journal of the Royal Meteorological Society, EarlyView.
This study presents the extremum Monte Carlo filter as a data assimilation method and, in particular, a variant of the variational approach (three‐ and four‐dimensional variational), where the state estimates are obtained by solving an optimization problem numerically over a space of prediction functions, instead of the state space itself.
Karim Moussa, Siem Jan Koopman
wiley   +1 more source

Machine Learning‐Based Risk‐Adjusted CUSUM Control Chart for Monitoring Readmission Rate Following PTBD Catheter Placement

Quality and Reliability Engineering International, EarlyView.
ABSTRACT Percutaneous transhepatic biliary drainage (PTBD) catheter placement is known to have a high readmission rate. This work focuses on monitoring the change in readmission rate after a new clinical paradigm for post‐procedural care is implemented for the PTBD procedures.
Muhammed Aljifri, Yanjun Qian, Kunal Patel   +2 more
wiley   +1 more source

Optimal Asynchronous Guaranteed Cost Control of Uncertain Markov Jump Systems With Actuator Saturation and Nonideal Transition Probabilities

IEEE Access
This paper investigates the problem of dynamic event-triggered asynchronous guaranteed cost control for uncertain Markov jump systems with actuator saturation and nonideal transition probabilities.
Jiazheng Liu, Yang Yang, Yaru Song
doaj   +1 more source

Haptic Teleoperation in Extended Reality for Electric Vehicle Battery Disassembly Using Gaussian Mixture Regression

Journal of Field Robotics, EarlyView.
ABSTRACT We present a comprehensive teleoperation framework for electric vehicle (EV) battery cell handling, integrating haptic feedback, extended reality (XR) visualization, and task‐parameterized Gaussian mixture regression (TP‐GMR) for adaptive, real‐time trajectory generation.
Alireza Rastegarpanah, Carmelo Mineo, Cesar Alan Contreras, Abdelaziz Shaarawy, Giovanni Paragliola, Rustam Stolkin   +5 more
wiley   +1 more source

Search for continuous gravitational waves from neutron stars in five globular clusters with a phase-tracking hidden Markov model in the third LIGO observing run [PDF]

L. Dunn, A. Melatos, Patrick Clearwater, Sofia Suvorova, L. Sun, William Moran, Robin J. Evans   +6 more
openalex   +1 more source

Exponential Bounds for Convergence of Entropy Rate Approximations in\n Hidden Markov Models Satisfying a Path-Mergeability Condition [PDF]

, 2012
Nicholas F. Travers
openalex   +1 more source

Why Autonomous Vehicles Are Not Ready Yet: A Multi‐Disciplinary Review of Problems, Attempted Solutions, and Future Directions

Journal of Field Robotics, EarlyView.
ABSTRACT Personal autonomous vehicles can sense their surrounding environment, plan their route, and drive with little or no involvement of human drivers. Despite the latest technological advancements and the hopeful announcements made by leading entrepreneurs, to date no personal vehicle is approved for road circulation in a “fully” or “semi ...
Xingshuai Dong, Massimiliano Cappuccio, Fady Alnajjar, Luqman Ali, Hamad Al Jassmi, Essam Debie, Milad Ghasrikhouzani, Alessandro Lanteri, Tate McGregor, Oleksandra Molloy, Alice Plebe, Michael Regan, Eduardo Sandoval, Dongmo Zhang   +13 more
wiley   +1 more source

From Membrane Composition to Antimicrobial Strategies: Experimental and Computational Approaches to AMP Design and Selectivity

Small, EarlyView.
Antimicrobial peptides (AMPs) are promising candidates for next‐generation antibiotics, acting through mechanisms such as membrane disruption and intracellular targeting. This review examines how variations in bacterial membrane composition critically influence AMP activity.
Paolo Rossetti, Marius F.W. Trollmann, Christina Wichmann, Thomas Gutsmann, Christian Eggeling, Rainer A. Böckmann   +5 more
wiley   +1 more source