When the topic of ‘electrolysis’ is mentioned, people typically think of just splitting plain old dihydrogen monoxide (hydric acid: H 2 O) into its constituent atoms, but this barely scratches the ...

AI-based pre-screening of BRCA1/2 mutation likelihood from routine H&E histopathology in unselected breast cancer cases using peakPredictBRCA. This is an ASCO Meeting Abstract from the 2026 ASCO ...

Reported FCR prevalence ranged from 47.7% to 63.4%, highlighting the substantial burden of this outcome across cancer populations. Prediction models estimating fear of cancer recurrence (FCR) in ...

In the previous session (Part 21), we provided a complete solution to the 2026 University of Tokyo Science Question 6 from the perspective of generating functions. In this final session, we will ...

Predicting prostate cancer (PCa) recurrence after radical treatment is crucial for personalised adjuvant therapy. This study aimed to compare different algorithms in order to select the best model for ...

Stressor‐associated atrial fibrillation (AF) refers to new‐onset AF that occurs with a reversible, acute stressor. Identifying individuals at highest risk for AF recurrence is essential to guide ...

AI can use preoperative mammograms to predict postoperative breast cancer recurrence, a 2026 retrospective study has found. Scores from a commercial AI system for mammographic breast cancer detection ...

A NEW study suggests that the pattern of recurrence, rather than recurrence itself, is the key determinant of long-term outcomes following curative resection for hepatocellular carcinoma (HCC). HCC ...

Probability recurrence relations are the kind of problems that make you want to give up the moment you see them. Hello to all Math B students! When my own deviation score was 60, I also used to think, ...

This study aimed to develop a machine learning–based model to predict recurrence risk after perianal abscess surgery, thereby supporting personalized follow-up and intervention strategies. Clinical ...