Advancing Human Skin Equivalents: The Crucial Role of Neurovascular Integration
This review discusses the importance of integrating vascular and peripheral nerve systems into human skin equivalents (HSEs) to better recapitulate native skin physiology. Recent advances in vascularized, innervated, and neurovascularized HSEs are highlighted, together with emerging bioengineering strategies, current challenges, and future ...
Hao Wu +4 more
wiley +1 more source
Using causal machine learning and real world data to improve dose response decision making for secukinumab in psoriatic arthritis. [PDF]
Kiltz U +5 more
europepmc +1 more source
Identifying treatment heterogeneity in atrial fibrillation using a novel causal machine learning method. [PDF]
Ngufor C +11 more
europepmc +1 more source
Conventional therapies suffer from poor blood–brain barrier (BBB) penetration and disordered ion/reactive oxygen species (ROS) homeostasis, hindering precise neurological treatment. Electrochemical strategies achieve accurate spatiotemporal regulation of neural homeostasis.
Xiaokang Hu +5 more
wiley +1 more source
Causal machine learning uncovers conditions for convective intensification driven by organic and sulfate aerosols. [PDF]
Wang D, Li JX, Lu J.
europepmc +1 more source
Three‐dimensional bioprinting transforms breast cancer modeling from simple constructs into spatially organized, multicellular, perfused, and patient‐derived platforms. This review shows how bioinks, cellular composition, architecture, and flow govern tumor behavior and drug response, while revealing why complexity alone is insufficient without ...
Mustafa Nakipoglu +7 more
wiley +1 more source
Target trial emulation and causal machine learning define individualized safety margins for energy exposure near the recurrent laryngeal nerve in thyroidectomy: multicentre cohort study. [PDF]
Li Z +8 more
europepmc +1 more source
NeuroVisio SyncPatch integrates skin‐conformal electromyography (EMG) electrodes with camera‐tracked markers to jointly assess muscle activity and three‐dimensional knee kinematics during rehabilitation. Parallel feedback pathways provide real‐time kinematic guidance during movement and post‐trial neuromuscular feedback.
Bohyung Choi +11 more
wiley +1 more source
Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning
Recent years have seen a surge of interest in learning high-level causal representations from low-level image pairs under interventions. Yet, existing efforts are largely limited to simple synthetic settings that are far away from real-world problems. In
Horn, Max +6 more
core
Effect of sea surface temperature in El Niño regions on dengue dynamics in Colombia: Evidence from causal machine learning. [PDF]
Gutiérrez JD +3 more
europepmc +1 more source

