Results 131 to 140 of about 32,648 (253)

Human Monocytic Models Reveal Genotype‐Dependent Inflammatory Programs in VEXAS Syndrome

Arthritis &Rheumatology, EarlyView.
Objective VEXAS syndrome is a severe X‐linked autoinflammatory disorder caused by somatic mutations in ubiquitin‐like modifier activating enzyme 1 (UBA1), with clinical outcomes that vary by UBA1 genotype. We aimed to elucidate genotype‐specific inflammatory programs and identify potential therapeutic targets.
Kana Higashitani, Tatsuma Ban, Yohei Kirino, Go R. Sato, Soichiro Adachi, Yuki Iizuka, Kayo Harita, Ayaka Maeda, Osamu Ohara, Hideaki Nakajima, Tomohiko Tamura   +10 more
wiley   +1 more source

Legal and ethical considerations around the use of existing illustrations to generate new illustrations in the anatomical sciences

Anatomical Sciences Education, Volume 18, Issue 3, Page 289-300, March 2025.
Abstract It is likely existing anatomical illustrations are often used as the basis for new illustrative works, given not all illustrators have access to human tissues, bodies, or prosections on which to base their illustrations. Potential issues arise with this practice in the realms of copyright infringement and plagiarism when authors are seeking to
Jon Cornwall, Richard White, Patrick Pennefather, Sabine Hildebrandt, Jill Gregory, Heather F. Smith, Jason Organ, Claudia Krebs   +7 more
wiley   +1 more source

Research on intellectual property rights and legal liability definition of artificial intelligence-assisted pediatric disease diagnosis system. [PDF]

Front Public Health
Yang Z, Yang W.
europepmc   +1 more source

The gift remembered: The Human Anatomy and Physiology Society (HAPS) Anatomical Donor Stewardship's ethical and practical handbook for anatomy donor tributes

Anatomical Sciences Education, EarlyView.
Abstract Providing students with a way to honor human body donors during or after an anatomy course has been shown to help provide a sense of closure and comfort to students and, when present, donor families. Gestures of gratitude for donors can also emphasize humanistic values of respect, empathy, and professionalism.
Bobbie J. Leeper, Rhiannon E. Robinson, Kelsey Stevens, Lacy M. Cleveland, Danielle N. Edwards, Nicole L. Geske, Burhan Gharaibeh, Anya Goldina, Jill Kirby, Jacqueline Phillips, Leslie R. Sewell, J. P. Swigart, Trisha Waldman, Jonathan J. Wisco, Jeremy J. Grachan   +14 more
wiley   +1 more source

A Multidisciplinary Model for Risk Management and Detection of Ageist Bias in Healthcare Systems in the Era of Artificial Intelligence. [PDF]

Healthcare (Basel)
Cohen E, Adler Y, Nissanholtz-Gannot R.
europepmc   +1 more source

A man of his time: Joseph Leidy, racial science, and American anatomy

Anatomical Sciences Education, EarlyView.
Abstract Professor Joseph Leidy M.D. was arguably the most influential anatomist in the nineteenth‐century United States, having written over 500 publications and serving as the first President of the Association of American Anatomists. While many of Leidy's diverse contributions to American science and medicine are well‐known, scholars have said much ...
Christopher D. E. Willoughby
wiley   +1 more source

Artificial intelligence in the EU Safe Hearts Plan: prediction alone is not enough. [PDF]

Lancet Reg Health Eur
van Kolfschooten H, Hattab G, Bächler F, Stefanini G.   +3 more
europepmc   +1 more source

Affective dimensions in the information behavior of forcibly displaced people: A literature review. An Annual Review of Information Science and Technology (ARIST) paper

Journal of the Association for Information Science and Technology, EarlyView.
Abstract This review analyzed 241 scholarly articles published between 2010 and 2025 in information science venues to examine how affect shapes refugees' information behavior during forced migration and to identify additional contextual factors. It identifies seven affective dimensions: anxiety, shame and stigma, grief and loss, frustration, (mis)trust,
Maja Krtalić, Lilach Alon
wiley   +1 more source

The ultimate forgery: A semiotic deconstruction of large language models as engines of simulated selfhood

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Information science rests on a compact: its mediating signs maintain a traceable relation to what they describe. Large language models (LLMs) break it architecturally, generating discourse that is statistically plausible yet epistemically ungrounded, while standard metrics (precision, recall, relevance) cannot detect the rupture.
Martin Thellefsen, Alon Friedman
wiley   +1 more source

Legal liability of physicians and new governance in the AI era. [PDF]

Jpn J Radiol
Ueda D, Ochiai T, Kakinuma T, Yamaguchi H, Fukuda A, Saito K, Takita H, Mitsuyama Y, Walston S, Miki Y.   +9 more
europepmc   +1 more source