Augmentation Therapy for Severe Alpha-1 Antitrypsin Deficiency Improves Survival and Is Decoupled from Spirometric Decline-A Multinational Registry Analysis. [PDF]
Fraughen DD +17 more
europepmc +1 more source
Bacterial infectiogy, what role for phage therapy?
The role of Bacteriophage ...
CAPPARELLI, ROSANNA
core
A flexible, skin‐integrated electromagnetic actuator is developed for wearable virtual/augmented reality (VR/AR) haptic systems. A tunable design model enables control over displacement and resonance frequency. The system is validated through a custom VR application with a 6 × 4 actuator array, demonstrating real‐time, spatially targeted tactile ...
Naji Tarabay +9 more
wiley +1 more source
Estimating the Prevalence of AATD Patients in the UK to Identify Underdiagnosis and Determine the Eligibility for Potential Augmentation Therapy. [PDF]
Newnham M, Quinn M, Turner AM.
europepmc +1 more source
From Lab to Landscape: Environmental Biohybrid Robotics for Ecological Futures
This Perspective explores environmental biohybrid robotics, integrating living tissues, microorganisms, and insects for operation in real‐world ecosystems. It traces the leap from laboratory experiments to forests, wetlands, and urban environments and discusses key challenges, development pathways, and opportunities for ecological monitoring and ...
Miriam Filippi
wiley +1 more source
Augmentation Therapy Modulates Systemic Inflammation in Individuals with Alpha-1 Antitrypsin Deficiency and Chronic Obstructive Pulmonary Disease. [PDF]
Lascano J +3 more
europepmc +1 more source
Strategic Design of Soft Actuators in Translational Medical Robotics for Human‐Centered Healthcare
Soft robotics enables biocompatible, compliant medical devices, but clinical translation requires design‐driven engineering beyond materials. This perspective reviews implantable, surgical, and wearable systems by actuation mechanism, highlighting how optimized architectures and integration improve mechanical interfacing, adaptability, and durability ...
Ho Jun Jin +3 more
wiley +1 more source
Deep Contrastive Learning for High‐Throughput Prediction of Drug Resistance Mutations from Sequences
This study presents DeepMutDTA, a deep learning framework aimed at predicting mutation‐induced changes in protein‐drug interactions and prioritizing variants potentially linked to drug resistance. Trained on large‐scale data, it incorporates SimSiam‐MuTF, a label‐aware contrastive fine‐tuning strategy that encourages separation between WT and MT ...
Xiaowen Hu +7 more
wiley +1 more source
Exploring representation-level augmentation and RAG-based vulnerability augmentation with LLMs for vulnerability detection [PDF]
Using deep learning (DL) for detecting software vulnerabilities has become commonplace. However, data shortage remains a significant challenge due to the scarce nature of vulnerabilities.
Daneshvar, Seyed Shayan
core
Pancreatic adenocarcinoma (PAAD) remains highly lethal with limited treatment options. This study demonstrates that coixenolide, a bioactive compound from Coix lacryma‐jobi L. and a key component of the clinically approved Kanglaite injection, exhibits enhanced antitumor efficacy in high‐fat diet (HFD)‐induced obese mice bearing PAAD tumors compared to
Kaidi Chen +20 more
wiley +1 more source

