The tumour histopathology "glossary" for AI developers.

The applications of artificial intelligence (AI) and deep learning (DL) are leading to significant advances in cancer research, particularly in analysing histopathology images for prognostic and treatment-predictive insights. However, effective translation of these computational methods requires computational researchers to have at least a basic understanding of histopathology. In this work, we aim to bridge that gap by introducing essential histopathology concepts to support AI developers in their research.

Bacillus Calmette-Guerin (BCG) infections following intravesical BCG immunotherapy: a systematic review protocol.

Background: Although intravesical Bacillus Calmette-Guerin (BCG) immunotherapy usually exhibits a favorable safety profile, it can lead to the development of BCG infections, both localized and disseminated. Understanding of BCG infections following intravesical BCG immunotherapy is limited because of the lack of consensus definitions of BCG infections and limited post-instillation follow-up. We aim to perform a systematic review of the literature of BCG infections following intravesical BCG immunotherapy to elucidate the epidemiology, risk factors, and outcomes of BCG infections.

Implications of a new clinical classification of acute myocardial infarction.

Aim: The diagnostic criteria for type 2 myocardial infarction identify a heterogenous group of patients with variable outcomes and no clear treatment implications. We aimed to determine the implications of a new clinical classification for myocardial infarction with more objective diagnostic criteria using cardiac imaging.

Methods: In a prospective cohort study, patients with type 2 myocardial infarction underwent coronary angiography and cardiac magnetic resonance imaging or echocardiography.

Symmetrical "super learning": Enhancing causal learning using a bidirectional probabilistic outcome.

In a learning environment, with multiple predictive cues for a single outcome, cues interfere with or enhance each other during the acquisition process (e.g., Baker et al.