Results 231 to 240 of about 180,157 (298)
Adhesions’ high occurrence rates and high morbidity render them a critical challenge to be addressed. Current prevention methods, such as physical barriers, have many limitations, resulting in inconsistent safety and efficacy. This study demonstrates the potential for sprayable polymeric materials as an adhesion barrier.
Robert J. Morris III +7 more
wiley +1 more source
Bioengineered 3D hPSC‐Cholangiocyte Ducts With Physiological Signals for Biliary Disease Modeling
Tian and colleagues generated a bioengineered bile duct from human pluripotent stem cell (hPSC)‐derived intrahepatic cholangiocytes within a high‐throughput, 384‐well platform to systematically examine the influence of biliary physiological signals including fluid flow, stromal cells and bile acids, and models intrahepatic biliary disease progression ...
Britney Tian +10 more
wiley +1 more source
Randomized controlled trial of stress management and resiliency training for depression (SMART-D)-pilot study. [PDF]
Seshadri A +8 more
europepmc +1 more source
Fast‐acting hydrogel seals bleeding wounds as the illustrated injectable, pH‐responsive network rapidly gels in situ to stop hemorrhage, adhere strongly to wet tissue, and release antibiotics in a controlled, pH‐dependent manner. The material withstands high pressures, shows excellent biocompatibility, and degrades safely, offering a versatile platform
Arvind K. Singh Chandel +5 more
wiley +1 more source
Parental Adverse Childhood Experiences and Health Care Use Among Children With Sickle Cell Disease.
Wilson DK +10 more
europepmc +1 more source
Study protocol for a pilot randomized trial building resiliency among caregivers of cancer curvivors and metavivors. [PDF]
Goshe BM +13 more
europepmc +1 more source
Ego-Resiliency, Life Satisfaction and Symptoms of Anxiety and Depression Among Students of Pro-Health Faculties During COVID-19 Pandemic. [PDF]
Badura-Brzoza K +3 more
europepmc +1 more source
Applying Reinforcement Learning to Protect Deep Neural Networks from Soft Errors. [PDF]
Su P, Li Y, Lu Z, Chen D.
europepmc +1 more source

