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Automated video-based pain recognition in cats using facial landmarks.
Sci Rep
November 2024
Information Systems Department, University of Haifa, Haifa, Israel.
Affective states are reflected in the facial expressions of all mammals. Facial behaviors linked to pain have attracted most of the attention so far in non-human animals, leading to the development of numerous instruments for evaluating pain through facial expressions for various animal species. Nevertheless, manual facial expression analysis is susceptible to subjectivity and bias, is labor-intensive and often necessitates specialized expertise and training.
View Article and Find Full Text PDFas a Source of Compounds with Anticancer and Cosmetic Applications.
Int J Mol Sci
October 2024
Therapeutic Research, TTD International Pty Ltd., 39 Leopard Ave., Elanora, Gold Coast, QLD 4221, Australia.
Article Synopsis
- * The study examines the cosmetic and chemopreventive benefits of different phenotypes of this plant by analyzing extracts with various solvents for their antioxidant, skin-whitening, and anticancer properties.
- * Results show that grey maca extract significantly inhibits the enzyme tyrosinase and exhibits cytotoxic effects on melanoma cells, with specific compounds identified as key contributors to these beneficial activities.
Artificial Intelligence for Contrast-Enhanced Ultrasound of the Liver: A Systematic Review.
Digestion
September 2024
Department of Gastroenterology, Hepatology and Infectious Diseases, University Hospital Dusseldorf, Medical Faculty at Heinrich-Heine-University, Dusseldorf, Germany.
Introduction: The research field of artificial intelligence (AI) in medicine and especially in gastroenterology is rapidly progressing with the first AI tools entering routine clinical practice, for example, in colorectal cancer screening. Contrast-enhanced ultrasound (CEUS) is a highly reliable, low-risk, and low-cost diagnostic modality for the examination of the liver. However, doctors need many years of training and experience to master this technique and, despite all efforts to standardize CEUS, it is often believed to contain significant interrater variability.
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- X-ray structures of coronavirus drug targets were rapidly acquired during the early COVID-19 pandemic, especially focusing on the main protease (Mpro) of SARS-CoV-2, which is crucial for developing direct antiviral drugs.
- A systematic, semi-automated method was developed to select the best ensemble of Mpro structures for virtual screening of potential inhibitors, as the selection process was complex.
- This method was validated against existing approaches and led to the discovery of new thienopyrimidinone derivatives that effectively inhibit the Mpro enzyme.
HumanIslets: An integrated platform for human islet data access and analysis.
bioRxiv
June 2024
Alberta Diabetes Institute, University of Alberta, Edmonton, AB.
Comprehensive molecular and cellular phenotyping of human islets can enable deep mechanistic insights for diabetes research. We established the Human Islet Data Analysis and Sharing (HI-DAS) consortium to advance goals in accessibility, usability, and integration of data from human islets isolated from donors with and without diabetes at the Alberta Diabetes Institute (ADI) IsletCore. Here we introduce HumanIslets.
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