Results 181 to 190 of about 8,753,061 (307)

An assessment of ChatGPT in error detection for thyroid ultrasound reports: A comparative study with ultrasound physicians. [PDF]

Digit Health
Xu Z, Ye J, Luo W, Han L, Yin H, Li Y, Su Q, Su S, Lyu G, Li S.   +9 more
europepmc   +1 more source

A yeast model of 5‐oxoproline accumulation reveals a general toleration to 5‐oxoproline

FEBS Open Bio, EarlyView.
Using a yeast model, we show that even high accumulation of 5‐oxoproline causes only mild cellular stress and does not trigger oxidative stress. Instead, cells adapt by activating efflux pumps and diverse protective pathways, suggesting that previously proposed harmful effects of 5‐oxoproline may arise from indirect metabolic imbalances rather than the
Pratiksha Dubey, Vaishnavi Sanjayan, Praveen Singh, Shantanu Sengupta, Anand Kumar Bachhawat   +4 more
wiley   +1 more source

Harnessing GPT-4 for automated error detection in pathology reports: Implications for oncology diagnostics. [PDF]

Digit Health
Yang X, Zhang Y, Jiang J, Chen Z, Bai R, Yuan Z, Dong L, Xiao Y, Liu D, Deng H, Huang J, Shi H, Liu D, Liang M, Tang W, Xu C.   +15 more
europepmc   +1 more source

Sudden anaerobization in Amphibacillus xylanus increases intracellular labile ferrous iron and inhibits cell growth

FEBS Open Bio, EarlyView.
Abruptly changing from aerobic to anaerobic conditions (sudden anaerobization) induced growth inhibition and a significant increase in intracellular labile ferrous iron in the aerotolerant anaerobe Amphibacillus xylanus. We found that free flavins mediate efficient electron transfer from NADH to ferric iron under anaerobic conditions, suggesting that ...
Shinya Kimata, Yoichi Sakai, Keisuke Tanaka, Etsuro Yoshimura, Ken Kitano, Morio Ishikawa, Tadahiro Nakamoto, Tsutomu Takayama, Hirofumi Inoue, Kaho Nomura, Tomonori Suzuki, Masataka Uchino, Akira Abe, Youichi Niimura   +13 more
wiley   +1 more source

RoundMi: A quantitative method to analyze mitochondrial morphology in mitotic cells

FEBS Open Bio, EarlyView.
RoundMi is a workflow for rapid analysis of mitochondrial morphology in mitotic cells. By combining adaptive preprocessing with automated segmentation and quantification, it enables accurate measurements from single focal plane images, reducing acquisition time and computational demands while remaining compatible with high‐throughput fixed and live ...
Elmira Parvindokht Bararpour, Christine Volmert, Valentina Piano   +2 more
wiley   +1 more source

Error detection for radiotherapy planning validation based on deep learning networks. [PDF]

J Appl Clin Med Phys
Liu S, Ma J, Tang F, Liang Y, Li Y, Li Z, Wang T, Zhou M.   +7 more
europepmc   +1 more source

One size does not fit all: An in vitro evaluation of the effects of bezafibrate and medroxyprogesterone acetate on human SH‐SY5Y and U‐87 MG cancer cells

FEBS Open Bio, EarlyView.
Drugs previously repurposed to target blood cancers reduced neuroblastoma and glioblastoma cell growth and viability. However, their levels of anticancer activity were different and their clinical application may be problematic due to side effects at effective doses.
Abhishek Kharawatkar, Francesco Michelangeli, Farhat Latif Khanim, Christopher Martin Bunce, William Eustace Basil Johnson   +4 more
wiley   +1 more source

Human-in-the-loop error detection in an object organization task with a social robot. [PDF]

Front Robot AI
Frijns HA, Hirschmanner M, Sienkiewicz B, Hönig P, Indurkhya B, Vincze M.   +5 more
europepmc   +1 more source

Directed evolution of enzymes at the crossroads of tradition and innovation

FEBS Open Bio, EarlyView.
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova, Andrej Mirossay, Erik Sedlak   +2 more
wiley   +1 more source

Large language models for error detection in radiology reports: a comparative analysis between closed-source and privacy-compliant open-source models. [PDF]

Eur Radiol
Salam B, Stüwe C, Nowak S, Sprinkart AM, Theis M, Kravchenko D, Mesropyan N, Dell T, Endler C, Pieper CC, Kuetting DL, Luetkens JA, Isaak A.   +12 more
europepmc   +1 more source