Estimating temporal treatment-effect patterns of radiotherapy and chemotherapy in lower-grade gliomas using causal machine learning. [PDF]
Yang E +9 more
europepmc +1 more source
A degradable, skin‐conformal bioelectronic patch combines a starch‐dominated nanocomposite conductor with a gelatin substrate to enable sensitive strain sensing, high‐fidelity electrocardiography, electromyography, electrooculography, and machine‐learning‐assisted gesture control.
Ming Dong +10 more
wiley +1 more source
Causal machine learning analysis identifies subpopulations most likely to benefit from healthy lifestyles for cognitive outcomes. [PDF]
Jiang Y +14 more
europepmc +1 more source
Institutions and the resource curse: New insights from causal machine learning. [PDF]
Hodler R, Lechner M, Raschky PA.
europepmc +1 more source
Single‐cell and spatially resolved impedance mapping using a high‐density CMOS‐MEA platform enables non‐invasive monitoring of osteoarthritis‐associated chondrocyte dynamics. Continuous label‐free measurements reveal heterogeneous remodeling behaviors, including proliferation, migration, and phenotypic transitions, establishing a powerful approach for ...
Neha Deshpande +9 more
wiley +1 more source
Rank-1 Approximation of Inverse Fisher for Natural Policy Gradients in Deep Reinforcement Learning
Publisher Copyright: © 2026, Transactions on Machine Learning Research. All rights reserved.Natural gradients have long been studied in deep reinforcement learning due to their fast convergence properties and covariant weight updates.
Dash, Satya Prakash +4 more
core
Identifying daily-living features related to loneliness: A causal machine learning approach. [PDF]
Wang Y +6 more
europepmc +1 more source
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei +9 more
wiley +1 more source
Accelerometer-derived movement phenotypes and adolescent mental health in pediatric obesity: A causal machine-learning study. [PDF]
Pan S +14 more
europepmc +1 more source
Targeting resources efficiently and justifiably by combining causal machine learning and theory. [PDF]
Gur Ali O.
europepmc +1 more source

