Results 21 to 30 of about 141,099 (208)

A Multiassessment and Multiprofessional Agents Approach for Medical Chatbot Risk Estimation: Development and Evaluation Study

JMIR Medical Informatics
BackgroundAssessing chatbot responses across 3 domains—medical, ethical, and legal—is essential to ensuring the safe use of artificial intelligence in health care.
Lenard Paulo Velasco Tamayo, Tomohiro Nishiyama, Shaowen Peng, Shoko Wakamiya, Eiji Aramaki   +4 more
doaj   +1 more source

Molecular cancer prevention: Intercepting disease

Molecular Oncology, EarlyView.
Oncological practice must evolve, from treating established tumours to proactive cancer interception before clinical manifestation. This will require mechanistic insight into tumour initiation, validated biomarkers of early disease development and redesigned clinical trials, enabling cancer interception to become a core pillar of oncology with the ...
Charlotte Grieco, Tej Pandya, Charles Swanton   +2 more
wiley   +1 more source

The Source of Lake Wobegon

Nonpartisan Education Review, 2005
John J. Cannell's late 1980's “Lake Wobegon” reports suggested widespread deliberate educator manipulation of norm-referenced standardized test (NRT) administrations and results, resulting in artificial test score gains.
Richard P. Phelps
doaj  

HENOS: A Henon Map-Based Chaotic Oversampling Strategy for Imbalanced Data Classification

IEEE Access
The effectiveness of machine learning models is profoundly influenced by the quality and distribution of training data. However, real-world datasets are often highly imbalanced, where conventional classification algorithms tend to favor the majority ...
Bahaeddin Turkoglu, Muhammed Abdulhamid Karabiyik, Tunc Asuroglu   +2 more
doaj   +1 more source

Clinical performance of the urine‐based TERT promoter AbsoluteQ Digital PCR for non‐invasive detection of bladder cancer

Molecular Oncology, EarlyView.
A urine‐based digital PCR assay targeting two hotspot TERT promoter variants detected bladder cancer with high sensitivity and no false positives in this case–control cohort. The streamlined AbsoluteQ workflow outperformed Sanger sequencing and supports non‐invasive molecular testing for bladder cancer detection.
Anna Nykel, Izabela Kubiak, Lena Rutkowska, Żaneta Kasprzyk, Łukasz Kępczyński, Michał Bednarek, Dariusz Sobieraj, Jacek Wilkosz, Piotr Kania, Adam Jędrzejczyk, Bogdan Kałużewski, Agnieszka Gach, Tadeusz Kałużewski   +12 more
wiley   +1 more source

The Source of Lake Wobegon (slide show)

Nonpartisan Education Review, 2007
John J. Cannell's late 1980's "Lake Wobegon" reports suggested widespread deliberate educator manipulation of norm-referenced standardized test (NRT) administrations and results, resulting in artificial test score gains.
Richard P. Phelps
doaj  

Noisy Submodular Maximization via Adaptive Sampling with Applications to Crowdsourced Image Collection Summarization

, 2015
We address the problem of maximizing an unknown submodular function that can only be accessed via noisy evaluations. Our work is motivated by the task of summarizing content, e.g., image collections, by leveraging users' feedback in form of clicks or ...
Krause, Andreas, Singla, Adish, Tschiatschek, Sebastian   +2 more
core   +1 more source

Automated FRAP microscopy for high‐throughput analysis of protein dynamics in chromatin organization and transcription

FEBS Open Bio, EarlyView.
RoboMic is an automated confocal microscopy pipeline for high‐throughput functional imaging in living cells. Demonstrated with fluorescence recovery after photobleaching (FRAP), it integrates AI‐driven nuclear segmentation, ROI selection, bleaching, and analysis.
Selçuk Yavuz, Bart Geverts, Johan A. Slotman, Andrea Sacchetti, Stefan Prekovic, Martin E. van Royen, Adriaan B. Houtsmuller   +6 more
wiley   +1 more source

Further Comment on "'Lake Woebegone,' Twenty Years Later"

Nonpartisan Education Review, 2006
no ...
Richard P. Phelps
doaj  

Digital twins to accelerate target identification and drug development for immune‐mediated disorders

FEBS Open Bio, EarlyView.
Digital twins integrate patient‐derived molecular and clinical data into personalised computational models that simulate disease mechanisms. They enable rapid identification and validation of therapeutic targets, prediction of drug responses, and prioritisation of candidate interventions.
Anna Niarakis, Philippe Moingeon
wiley   +1 more source