Optimal sepsis patient treatment using human-in-the-loop artificial intelligence
Sepsis is one of the leading causes of death in Intensive Care Units (ICU). The strategy for treating sepsis involves the infusion of intravenous (IV) fluids and administration of antibiotics. Determining the optimal quantity of IV fluids is a challenging problem due to the complexity of a patient's physiology.
Akash Gupta +2 more
openaire +3 more sources
Human-in-the-loop assisted de novo molecular design [PDF]
A de novo molecular design workflow can be used together with technologies such as reinforcement learning to navigate the chemical space. A bottleneck in the workflow that remains to be solved is how to integrate human feedback in the exploration of the ...
Haoping, Xiao +17 more
core +2 more sources
Electromyography-Based Human-in-the-Loop Bayesian Optimization to Assist Free Leg Swinging
Background/Objectives: The manual tuning of exoskeleton control parameters is tedious and often ineffective for adapting to individual users. Human-in-the-loop (HIL) optimization offers an automated approach, but existing methods typically rely on ...
Salvador Echeveste, Pranav A. Bhounsule
doaj +1 more source
Loop B is a major structural component of the 5-HT3 receptor [PDF]
The 5-HT3 receptor belongs to a family of therapeutically important neurotransmitter-gated receptors whose ligand binding sites are formed by the convergence of six peptide loops (A-F).
Thompson, Andrew J. +7 more
core +2 more sources
Concerted control framework for human-exoskeleton co-adaptation using ground reaction forces
Effective coordination between the human neuromuscular system and wearable assistive devices remains a key challenge in enhancing gait performance. We propose a concerted control strategy synchronizing biological and artificial actuators using shared ...
Vahid Firouzi +6 more
doaj +1 more source
A Novel Framework to Facilitate User Preferred Tuning for a Robotic Knee Prosthesis
The tuning of robotic prosthesis control is essential to provide personalized assistance to individual prosthesis users. Emerging automatic tuning algorithms have shown promise to ease the device personalization procedure.
Abbas Alili +6 more
doaj +1 more source
Structure‐forward targeting of claudins with synthetic binders
Claudins form the paracellular barriers between epithelial and endothelial tissues at tight junctions and are targets for molecular binders with the goal of modulating barrier permeability. Claudin‐binding molecules are relevant in drug delivery or in altering claudin interactions with disease‐causing proteins.
Alex J. Vecchio
wiley +1 more source
To Optimize Human-in-the-Loop Learning in Repeated Routing Games
This is the technical report of our TMC ...
Hongbo Li 0008, Lingjie Duan
openaire +3 more sources
Engineering peptides into antibodies—opportunities and strategies for therapeutic innovation
Peptides and antibodies occupy complementary therapeutic niches. Peptides recognize difficult targets in a compact format, while antibodies add specificity, long half‐life, and effector functions. This review examines strategies that merge both modalities—peptide grafting into loops, terminal and Fc fusions, and bioconjugation—highlighting how ...
Jinling Wang +2 more
wiley +1 more source
User preference in the personalized control of an ankle prosthesis: a case study
Purpose User preference is important for improving the acceptance of assistive robotic devices. However, it is not clear what factors influence user preferences or how it relates with physiological variables, such as muscle activity.
María Alejandra Díaz +5 more
doaj +1 more source

