Results 91 to 100 of about 1,255,893 (247)

Cell surface interactome analysis identifies TSPAN4 as a negative regulator of PD‐L1 in melanoma

Molecular Oncology, EarlyView.
Using cell surface proximity biotinylation, we identified tetraspanin TSPAN4 within the PD‐L1 interactome of melanoma cells. TSPAN4 negatively regulates PD‐L1 expression and lateral mobility by limiting its interaction with CMTM6 and promoting PD‐L1 degradation.
Guus A. Franken, Andrea Abel Gutierrez, Imke van Rossum, Cornelia G. Spruijt, Michiel Vermeulen, Guido van Mierlo, Blanca Scheijen, Annemiek B. van Spriel   +7 more
wiley   +1 more source

Developing a clinician-friendly rubric for assessing history-taking skills in medical undergraduates speaking English as a foreign language [version 3; peer review: 1 approved, 3 approved with reservations]

MedEdPublish
Background ChatGPT is a large language model that uses deep learning techniques to generate human-like texts. ChatGPT has the potential to revolutionize medical education as it acts as an interactive virtual tutor and personalized learning assistant.
Takayuki Oshimi
doaj   +1 more source

LDAcoop: Integrating non‐linear population dynamics into the analysis of clonogenic growth in vitro

Molecular Oncology, EarlyView.
Limiting dilution assays (LDAs) quantify clonogenic growth by seeding serial dilutions of cells and scoring wells for colony formation. The fraction of negative wells is plotted against cells seeded and analyzed using the non‐linear modeling of LDAcoop.
Nikko Brix, Daniel Samaga, Katharina Gehr, Benedek Dankó, Mohamed Schumann, Guido Drexler, Ahmed Alnatsha, Georg Beyer, Ujjwal Mahajan, Martin Selmansberger, Julia Mayerle, Claus Belka, Horst Zitzelsberger, Kirsten Lauber   +13 more
wiley   +1 more source

Utilisation of ChatGPT and other Artificial Intelligence tools among medical faculty in Uganda: a cross-sectional study [version 3; peer review: 1 approved, 2 approved with reservations]

MedEdPublish
Background ChatGPT is a large language model that uses deep learning techniques to generate human-like texts. ChatGPT has the potential to revolutionize medical education as it acts as an interactive virtual tutor and personalized learning assistant.
Job Kuteesa, Faith Oguttu, Ian Guyton Munabi, Aloysius Gonzaga Mubuuke, Sarah Kiguli, Ritah Nantale, David Mukunya, Elizabeth Ajalo, Frank Kayemba, Jonathan Babuya, Kennedy Pangholi, Amelia Margaret Namiiro, Suzan Langoya Akuu, Steven Ekak, Ronald Tweheyo, Kirsten Nantongo, Brenda Nakitto, Milton W. Musaba, Joseph Luwaga Mpagi   +18 more
doaj   +1 more source

THE MEDICAL FACULTIES [PDF]

Nature, 1878
openaire   +1 more source

Plecstatin inhibits hepatocellular carcinoma tumorigenesis and invasion through cytolinker plectin

Molecular Oncology, EarlyView.
The ruthenium‐based metallodrug plecstatin exerts its anticancer effect in hepatocellular carcinoma (HCC) primarily through selective targeting of plectin. By disrupting plectin‐mediated cytoskeletal organization, plecstatin inhibits anchorage‐dependent growth, cell polarization, and tumor cell dissemination.
Zuzana Outla, Jan Kosla, Magdalena Prechova, Lukas Frick, Patricia Bortel, Yasmin Borutzki, Andrea Bileck, Christopher Gerner, Samuel M. Meier‐Menches, Selma Osmanagic‐Myers, Martin Gregor   +10 more
wiley   +1 more source

Innovative educational project. Medical Faculty. Problems.Prospects

RUDN Journal of Medicine, 2008
The innovative education system developed by the medical faculty of PFUR for preparation of competitive foreign and domestic doctors on the bases of new forms of continuous post gradual education is presented.
V A Frolov, V E Radzinskiy, S M Semyatov
doaj  

Utilisation of ChatGPT and other Artificial Intelligence tools among medical faculty in Uganda: a cross-sectional study [version 2; peer review: 1 approved, 2 approved with reservations]

MedEdPublish
Background ChatGPT is a large language model that uses deep learning techniques to generate human-like texts. ChatGPT has the potential to revolutionize medical education as it acts as an interactive virtual tutor and personalized learning assistant.
Job Kuteesa, Faith Oguttu, Ian Guyton Munabi, Aloysius Gonzaga Mubuuke, Sarah Kiguli, Ritah Nantale, David Mukunya, Elizabeth Ajalo, Frank Kayemba, Jonathan Babuya, Kennedy Pangholi, Amelia Margaret Namiiro, Suzan Langoya Akuu, Steven Ekak, Ronald Tweheyo, Kirsten Nantongo, Brenda Nakitto, Milton W. Musaba, Joseph Luwaga Mpagi   +18 more
doaj   +1 more source

Recurrent cancer‐associated ERBB4 mutations are transforming and confer resistance to targeted therapies

Molecular Oncology, EarlyView.
We show that the majority of the 18 analyzed recurrent cancer‐associated ERBB4 mutations are transforming. The most potent mutations are activating, co‐operate with other ERBB receptors, and are sensitive to pan‐ERBB inhibitors. Activating ERBB4 mutations also promote therapy resistance in EGFR‐mutant lung cancer.
Veera K. Ojala, Sini Ahonen, Sara Peltola, Aura Tuohisto‐Kokko, Olaya Esparta, Peppi Suominen, Anne Jokilammi, Iman Farahani, Deepankar Chakroborty, Nikol Dibus, Steffen Boettcher, Tomi T. Airenne, Mark S. Johnson, Lisa D. Eli, Klaus Elenius, Kari J. Kurppa   +15 more
wiley   +1 more source

Faculty mentors for medical students

Academic Medicine, 1982
D H, Flach, M F, Smith, W G, Smith, M L, Glasser   +3 more
openaire   +3 more sources