Results 121 to 130 of about 176,700 (233)

Promoting AI Competencies for Medical Students: A Scoping Review on Frameworks, Programs, and Tools [PDF]

arXiv
As more clinical workflows continue to be augmented by artificial intelligence (AI), AI literacy among physicians will become a critical requirement for ensuring safe and ethical AI-enabled patient care. Despite the evolving importance of AI in healthcare, the extent to which it has been adopted into traditional and often-overloaded medical curricula ...
arxiv  

Targeting the MDM2‐MDM4 interaction interface reveals an otherwise therapeutically active wild‐type p53 in colorectal cancer

Molecular Oncology, EarlyView.
This study investigates an alternative approach to reactivating the oncosuppressor p53 in cancer. A short peptide targeting the association of the two p53 inhibitors, MDM2 and MDM4, induces an otherwise therapeutically active p53 with unique features that promote cell death and potentially reduce toxicity towards proliferating nontumor cells.
Sonia Valentini, Giada Mele, Marika Attili, Maria Rita Assenza, Fulvio Saccoccia, Francesca Sardina, Cinzia Rinaldo, Roberto Massari, Nicola Tirelli, Alfredo Pontecorvi, Fabiola Moretti   +10 more
wiley   +1 more source

Thermal proteome profiling and proteome analysis using high‐definition mass spectrometry demonstrate modulation of cholesterol biosynthesis by next‐generation galeterone analog VNPP433‐3β in castration‐resistant prostate cancer

Molecular Oncology, EarlyView.
Elevated level of cholesterol is positively correlated to prostate cancer development and disease severity. Cholesterol‐lowering drugs, such as statins, are demonstrated to inhibit prostate cancer. VNPP433‐3β interrupts multiple signaling and metabolic pathways, including cholesterol biosynthesis, AR‐mediated transcription of several oncogenes, mRNA 5′
Retheesh S. Thankan, Elizabeth Thomas, Mehari M. Weldemariam, Puranik Purushottamachar, Weiliang Huang, Maureen A. Kane, Yuji Zhang, Nicholas Ambulos, Bi‐Dar Wang, David Weber, Vincent C. O. Njar   +10 more
wiley   +1 more source

Primary extranodal diffuse large B‐cell lymphoma: Molecular features, treatment, and prognosis

Aging and Cancer, Volume 3, Issue 3-4, Page 133-146, September-December 2022., 2022
One‐third of DLBCL arises from extranodal organs and is challenging to manage. Molecular features are critical to elucidate the differences in clinical features, predict the disease prognosis, and improve effective targeted therapeutic strategies. Abstract Diffuse large B‐cell lymphoma (DLBCL) is the most common subtype of non‐Hodgkin's lymphoma and ...
Si‐Yuan Chen, Meng‐Meng Ji, Peng‐Peng Xu, Wei‐Li Zhao   +3 more
wiley   +1 more source

Factores relacionados con el rendimiento académico en la asignatura Morfofisiología Humana IV, del Programa Nacional de Formación de Medicina Integral Comunitaria Factors related with the academic performance in the matter Human Morpho-physiology IV, of the National Program of Formation of Community Integral Medicine

Revista Médica Electrónica, 2011
Se realizó un estudio de investigación, con el objetivo de caracterizar el rendimiento académico del grupo de estudiantes del Programa Nacional de Formación en Medicina Integral Comunitaria, durante el desarrollo de la asignatura Morfofisiología Humana ...
Caridad Martínez Pedroso, Yamilka Eulalia Leiva Cubeñas, Esther G Báez Pérez, José Fernández Morín   +3 more
doaj  

Elucidating prognostic significance of purine metabolism in colorectal cancer through integrating data from transcriptomic, immunohistochemical, and single‐cell RNA sequencing analysis

Molecular Oncology, EarlyView.
Low expression of five purine metabolism‐related genes (ADSL, APRT, ADCY3, NME3, NME6) was correlated with poor survival in colorectal cancer. Immunohistochemistry analysis showed that low NME3 (early stage) and low ADSL/NME6 (late stage) levels were associated with high risk.
Sungyeon Kim, Myunghee Kang, Soyeon Jeong, Jisup Kim, Kyoung Oh Kim, Won‐Suk Lee, Jeong‐Heum Baek, Jung Ho Kim, Seungyoon Nam   +8 more
wiley   +1 more source

Synthetic Patients: Simulating Difficult Conversations with Multimodal Generative AI for Medical Education [PDF]

arXiv
Problem: Effective patient-centered communication is a core competency for physicians. However, both seasoned providers and medical trainees report decreased confidence in leading conversations on sensitive topics such as goals of care or end-of-life discussions.
arxiv  

Highly multiplexed digital PCR assay for simultaneous quantification of variant allele frequencies and copy number alterations of KRAS and GNAS in pancreatic cancer precursors

Molecular Oncology, EarlyView.
Combining melting curve analysis enhances the multiplexing capability of digital PCR. Here, we developed a 14‐plex assay to simultaneously measure single nucleotide mutations and amplifications of KRAS and GNAS, which are common driver genes in pancreatic cancer precursors. This assay accurately quantified variant allele frequencies in clinical samples
Junko Tanaka, Tatsuo Nakagawa, Yusuke Ono, Yoshio Kamura, Takeshi Ishida, Hidemasa Kawabata, Kenji Takahashi, Hiroki Sato, Andrew S. Liss, Yusuke Mizukami, Takahide Yokoi   +10 more
wiley   +1 more source

A case of Beauveria bassiana keratitis confirmed by internal transcribed spacer and LSU rDNA D1–D2 sequencing

New Microbes and New Infections, EarlyView., 2014
Abstract We describe a case of fungal keratitis due to Beauveria bassiana in a farmer with Fuchs' dystrophy, treated with amphotericin B. Surgery with penetrating keratoplasty was necessary to resolve the lesions. Susceptibility testing and molecular sequencing permitted the identification and treatment of this rare aetiological agent of invasive ...
M. Ligozzi, L. Maccacaro, M. Passilongo, E. Pedrotti, G. Marchini, R. Koncan, G. Cornaglia, A. R. Centonze, G. Lo Cascio   +8 more
wiley   +1 more source

MedSimAI: Simulation and Formative Feedback Generation to Enhance Deliberate Practice in Medical Education [PDF]

arXiv
Medical education faces challenges in scalability, accessibility, and consistency, particularly in clinical skills training for physician-patient communication. Traditional simulation-based learning, while effective, is resource-intensive, difficult to schedule, and often highly variable in feedback quality. Through a collaboration between AI, learning
arxiv