A Self-supervised Deep Learning Model for Diagonal Sulcus Detection with Limited Labeled Data.

Sulci are a fundamental part of brain morphology, closely linked to brain function, cognition, and behavior. Tertiary sulci, characterized as the shallowest and smallest subtype, pose a challenging task for detection. The diagonal sulcus (ds), located in a crucial area in language processing, has a prevalence between 50% and 60%.

NORHA: A NORmal Hippocampal Asymmetry Deviation Index Based on One-Class Novelty Detection and 3D Shape Features.

Radiologists routinely analyze hippocampal asymmetries in magnetic resonance (MR) images as a biomarker for neurodegenerative conditions like epilepsy and Alzheimer's Disease. However, current clinical tools rely on either subjective evaluations, basic volume measurements, or disease-specific models that fail to capture more complex differences in normal shape. In this paper, we overcome these limitations by introducing NORHA, a novel NORmal Hippocampal Asymmetry deviation index that uses machine learning novelty detection to objectively quantify it from MR scans.

Preclinical efficacy of the Wnt/β-catenin pathway inhibitor BC2059 for the treatment of desmoid tumors.

Mutation in the CTNNB1 gene, leading to a deregulation of the WTN/β-catenin pathway, is a common feature of desmoid tumors (DTs). Many β-catenin inhibitors have recently been tested in clinical studies; however, BC2059 (also referred as Tegavivint), a selective inhibitor of nuclear β-catenin that works through binding TBL-1, is the only one being evaluated in a clinical study, specifically for treatment of desmoid tumor patients. Preclinical studies on BC2059 have shown activity in multiple myeloma, acute myeloid leukemia and osteosarcoma.

Cross-flow microfiltration for isolation, selective capture and release of liposarcoma extracellular vesicles.

We present a resource-efficient approach to fabricate and operate a micro-nanofluidic device that uses cross-flow filtration to isolate and capture liposarcoma derived extracellular vesicles (EVs). The isolated extracellular vesicles were captured using EV-specific protein markers to obtain vesicle enriched media, which was then eluted for further analysis. Therefore, the micro-nanofluidic device integrates the unit operations of size-based separation with CD63 antibody immunoaffinity-based capture of extracellular vesicles in the same device to evaluate EV-cargo content for liposarcoma.