Results 181 to 190 of about 288,901 (266)

Estimating Brain Similarity Networks With Diffusion MRI. [PDF]

Hum Brain Mapp
Sadikov A, Choi HL, Cai LT, Mukherjee P.
europepmc   +1 more source

Deciphering the Impact of RAC1‐SPTAN1 in ARPKD Cystogenesis Using Multifaceted Models

Advanced Science, EarlyView.
Distal/connecting tubules expressing SLC8A1 have been suggested as a potential origin of ARPKD cysts. SPTAN1 has been identified as a key molecule in ARPKD cyst formation. Restoring SPTAN1 in PKHD1−/− organoids reduced cyst formation, normalized calcium levels, and decreased RAC1/c‐FOS expression, highlighting SPTAN1's role in ARPKD and the potential ...
Shohei Kuraoka, Yuhei Higashi, Suguru Saito, Solmaz Pourgonabadi, Honami Honjoh, Sho Ishigaki, Peter C. Harris, Lisa M. Satlin, Michifumi Yamashita, Ryuji Morizane   +9 more
wiley   +1 more source

Ultrasound Activated Piezoelectric Dural Patches to Drive Endogenous Neural Stem Cell–Mediated Repair Traumatic Brain Injury

Advanced Science, EarlyView.
This study presents a wireless, non‐invasive strategy for neural repair by developing a biodegradable piezoelectric dural patch that, under transcranial ultrasound, generates localized electrical fields to drive endogenous neural stem cells toward neuronal differentiation and functional integration.
Pengbo Zhou, Qingyuan Wu, Yang Wu, Runzhe Huang, Wei Li, Hanjie Niu, Hongtao Sun, Huiyu Liu   +7 more
wiley   +1 more source

Clinical correlates of perfusion and diffusion MRI metrics in cognitively unimpaired older adults. [PDF]

J Cereb Blood Flow Metab
Shakibajahromi B, Dolui S, Brown CA, Taghvaei M, Sadaghiani S, Khandelwal P, Das S, Yushkevich PA, Nasrallah IM, Xie SX, Wolk DA, Detre JA.   +11 more
europepmc   +1 more source

Enzyme‐Activated MRI for In Vivo Glucose Imaging via a Biodegradable Chromium Nanoprobe

Advanced Science, EarlyView.
Enzyme‐activated MRI (eaMRI) using a biodegradable CrGOx@Lip nanoprobe enables glucose‐specific imaging in vivo. GOx catalyzes glucose oxidation, triggering in situ formation of paramagnetic chromium gluconate and amplifying T1. This radiation‐free strategy maps tumor glucose uptake via the Warburg‐effect, quantifies hepatic glucose accumulation in ...
Yan Xu, Weitao Yang, Yanjing Yun, Hui Wang, Zhuoyao Wu, Youyi Yu, Bingbo Zhang   +6 more
wiley   +1 more source

When stroke hides: A case of negative diffusion MRI. [PDF]

Radiol Case Rep
Berrada K, Ouali IE, Aouadi SE, Fikri M, Jiddane M, Touarsa F.   +5 more
europepmc   +1 more source

Vascularized Cardiac Tissue Engineering: From Advances in Biofabrication to Translational Applications

Advanced Science, EarlyView.
This review presents a process‐oriented framework for vascularized cardiac tissue engineering, highlighting how the coordinated design of cells, biomaterials, and biofabrication strategies enables the functional development or vascularized myocardium for disease modelling and drug discovery.
Yang Liu, Zijie Zhang, Hongbin Li, Lino Prados‐Martin, Huanhong Li, Feng Cheng, Xia Tu, Khoon S. Lim, Wanlu Li, Mian Wang   +9 more
wiley   +1 more source

Stability of Perovskite Indoor Photovoltaics: A Focused Review and a Call for Standardized Stability Reporting

Advanced Energy Materials, EarlyView.
While perovskite solar cells have been widely studied, including their stability, perovskite indoor photovoltaics (IPVs) have only recently emerged. Nevertheless, more studies are appearing in the literature. The systematic stability study of IPVs is crucial, particularly given the inconsistencies in reported methodologies and results, which call for ...
Ivy Mawusi Asuo, Arezo Mahdavi Varposhti, Cyril Chu Fubin Kumachang, Gopal Krishnamurthy Grandhi, Vincenzo Pecunia, Thomas Meredith Brown, Paola Vivo, Nutifafa Yao Doumon   +7 more
wiley   +1 more source

Which Method Best Predicts Postoperative Complications: Deep Learning, Machine Learning, or Conventional Logistic Regression?

Annals of Gastroenterological Surgery, EarlyView.
Deep learning has shown promise in predicting postoperative complications, particularly when using image or time‐series data. However, on tabular clinical data such as the NCD, it often underperforms compared to conventional machine learning. Integrating multimodal data may enhance predictive accuracy and interpretability in surgical care.
Ryosuke Fukuyo, Masanori Tokunaga, Hiroyuki Yamamoto, Hideki Ueno, Yusuke Kinugasa   +4 more
wiley   +1 more source