Publications by authors named "A De Larocque"
Article Synopsis
- Microscopic examination of tissue is crucial in pathology, but traditional histology methods are time-consuming, destructive, and not well-suited for modern precision medicine, causing delays in diagnosis.
- AI-based techniques, like those developed by PictorLabs, have shown potential to streamline this process by generating quick diagnostic images using machine learning.
- In a study involving lymph node biopsies, virtual H&E stains performed comparably to traditional chemical stains, achieving higher stain quality and similar diagnostic accuracy, indicating that virtual stains may be a viable alternative for clinical assessments.
Background: Athlete monitoring trends appear to be favouring objective over subjective measures. One reason of potentially several is that subjective monitoring affords athletes to give dishonest responses. Indeed, athletes have never been systematically researched to understand why they are honest or not.
View Article and Find Full Text PDFSortilin (SORT1) receptor-mediated endocytosis functions were exploited for this new approach for effective and safe treatments of gynecological cancers. Here, high expression of SORT1 was found in >75% of the clinically annotated ovarian and endometrial tumors analyzed by immunohistochemistry. Therefore, the anticancer properties of the peptide-drug conjugate TH1902, a peptide that targets SORT1 and which is linked to docetaxel molecules, were investigated both in vitro using ovarian and endometrial cancer cell cultures and in vivo using xenograft models.
View Article and Find Full Text PDFImportance: Loss of smell is an early and common presentation of COVID-19 infection. Although it has been speculated that viral infection of olfactory neurons may be the culprit, it is unclear whether viral infection causes injuries in the olfactory bulb region.
Objective: To characterize the olfactory pathology associated with COVID-19 infection in a postmortem study.