Automated deep learning-based assessment of tumour-infiltrating lymphocyte density determines prognosis in colorectal cancer.

Background: The presence of tumour-infiltrating lymphocytes (TILs) is a well-established prognostic biomarker across multiple cancer types, with higher TIL counts being associated with lower recurrence rates and improved patient survival. We aimed to examine whether an automated intraepithelial TIL (iTIL) assessment could stratify patients by risk, with the ability to generalise across independent patient cohorts, using routine H&E slides of colorectal cancer (CRC). To our knowledge, no other existing fully automated iTIL system has demonstrated this capability.

Augmenting Osteosynthesis in Rotationplasty for Proximal Tibial Tumors: A Report of 2 Cases.

Case: Two pediatric patients were treated with rotationplasty for proximal tibia sarcomas. Both patients had an uneventful postoperative course with minimum radiographic and clinical follow-up of 5.7 years.

Exploring Motivations, Experiences, and Consequences of Psychedelic Use in Aotearoa New Zealand.

While interest in psychedelic research has recently increased globally, little is known about use in Aotearoa New Zealand. Therefore, we sought to explore motivations, features of subjective experience, and impact of use. We also aimed to explore and compare positive, typical, and worst experiences.

Pangenome reconstruction in rats enhances genotype-phenotype mapping and variant discovery.

The HXB/BXH family of recombinant inbred rat strains is a unique genetic resource that has been extensively phenotyped over 25 years, resulting in a vast dataset of quantitative molecular and physiological phenotypes. We built a pangenome graph from 10x Genomics Linked-Read data for 31 recombinant inbred rats to study genetic variation and association mapping. The pangenome includes 0.

Search for Magnetic Monopole Pair Production in Ultraperipheral Pb+Pb Collisions at sqrt[s_{NN}]=5.36 TeV with the ATLAS Detector at the LHC.

This Letter presents a search for highly ionizing magnetic monopoles in 262  μb^{-1} of ultraperipheral Pb+Pb collision data at sqrt[s_{NN}]=5.36  TeV collected by the ATLAS detector at the LHC. A new methodology that exploits the properties of clusters of hits reconstructed in the innermost silicon detector layers is introduced to study highly ionizing particles in heavy-ion data.