Results 161 to 170 of about 114,310 (305)

From HBV to MASLD Cirrhosis: Mechanistic Insights and Therapeutic Strategies

Portal Hypertension &Cirrhosis, EarlyView.
This review examines the epidemiological shift from hepatitis B virus (HBV) to metabolic dysfunction‐associated steatotic liver disease (MASLD) as the leading cause of cirrhosis globally. It highlights the distinct pathogenic mechanisms between HBV and MASLD cirrhosis and discusses evolving diagnostic tools and therapeutic strategies tailored to the ...
Hanqi Yu, Hongfan Ding, Yang Huang, Haoze Cao, Yuan Ding, Weilin Wang   +5 more
wiley   +1 more source

Targeting the Hippo pathway in pulmonary arterial hypertension: emerging pharmacological strategies. [PDF]

J Hypertens
Zheng D, Guo Y.
europepmc   +1 more source

Strategies for Assessing Post‐Wildfire Geomorphic Resilience in Semiarid Rivers

River Research and Applications, EarlyView.
ABSTRACT We review and summarize diverse components of a catchment that can be monitored after wildfire to assess the geomorphic resilience of the river corridor in semiarid regions. We distinguish upland portions of river catchments from river corridors.
Ellen Wohl, Shayla Triantafillou, Alex Thornton‐Dunwoody, Connor Mertz, Katie Larkin, William Keenan, Steven Griffin, Dylan Davis, Lindsey Blehm   +8 more
wiley   +1 more source

The Potential of the Inhibitors of the Transcriptional Enhanced Associate Domain Protein Factors (TEAD) as a Treatment for Cancer. [PDF]

ACS Med Chem Lett
Abdel-Magid AF.
europepmc   +1 more source

Deep learning‐based ecological analysis of camera trap images is impacted by training data quality and quantity

Remote Sensing in Ecology and Conservation, EarlyView.
Machine learning image classifiers are increasingly being used to automate camera trap image labelling, but we don't know how much ML model accuracy matters for downstream ecological analyses. Using two large data sets from an African savannah and an Asian dry forest ecosystem, we compared human labelled data with predictions from deep‐learning models ...
Peggy A. Bevan, Omiros Pantazis, Holly A.I. Pringle, Guilherme Braga Ferreira, Daniel J. Ingram, Emily K. Madsen, Liam Thomas, Dol Raj Thanet, Thakur Silwal, Santosh Rayamajhi, Gabriel J. Brostow, Oisin Mac Aodha, Kate E. Jones   +12 more
wiley   +1 more source

Understanding Climate Change Education Practices in Kalimantan Through Exploratory Field Research With Local Voices

Science Education, EarlyView.
ABSTRACT This article is based on a study that examines the practices and perspectives of selected educational actors in Kalimantan, Indonesia, on climate change education. The region is highly affected by climate crises and holds global relevance for mitigation due to its tropical forests and peatlands.
Carla Hermanussen, Saritha Kittie Uda
wiley   +1 more source

Integrative machine learning identifies a TEAD4-driven endothelial program shaping drug sensitivity and microvascular invasion in HCC. [PDF]

J Transl Med
Zhang P, Song H, Lin S, Zhu Y.
europepmc   +1 more source

Novel reference gene microseminoprotein‐beta based prostate cancer antigen 3 urine test: Enhanced diagnostic performance for prostate cancer and feasibility of non‐digital rectal examination urine sampling

UroPrecision, EarlyView.
Abstract Background The diagnosis of prostate cancer (PCa) is limited by low specificity and invasiveness. This study aims to establish a highly accurate, noninvasive reverse transcription‐quantitative polymerase chain reaction (RT‐qPCR)‐based urinary prostate cancer antigen 3 (PCA3) assay system and explore the feasibility of using first‐morning urine
Jianglei Xu, Lu Yang, Cong Shi, Yiwei Jiang, Jing Chen, Xiaoxiao Sun, Xuejuan Gao, Xian Wang, Jianzhong Jiang, Xiuzhi Duan, Xuchu Wang, Yiyi Xie, Zhixian Yu, Zhihua Tao, Xiaobing Dou, Chunyu Jin   +15 more
wiley   +1 more source

The hippo-YAP1/TEAD1-SLC7A5 axis: uncovering a novel therapeutic target for oxalate-induced renal tubular ferroptosis. [PDF]

Redox Rep
Yang J, Ma Z, Wan W, Yuan D, Li J, Wang Y, Wang B, Lyu G, Xun Y, Yu X.   +9 more
europepmc   +1 more source

Seasonal variations and challenges in estimating populations and identifying species of Korean ungulates using drone‐derived thermal orthomosaic maps

Wildlife Biology, EarlyView.
Drones equipped with thermal infrared (TIR) cameras offer significant time and labor savings in estimating wild ungulate populations. However, accurately monitoring forest‐dwelling ungulates remains challenging due to their elusive behavior and complex habitat.
Jinhwi Kim, Donggul Woo
wiley   +1 more source