A deep learning method for predicting knee osteoarthritis radiographic progression from MRI.

Background: The identification of patients with knee osteoarthritis (OA) likely to progress rapidly in terms of structure is critical to facilitate the development of disease-modifying drugs.

Methods: Using 9280 knee magnetic resonance (MR) images (3268 patients) from the Osteoarthritis Initiative (OAI) database , we implemented a deep learning method to predict, from MR images and clinical variables including body mass index (BMI), further cartilage degradation measured by joint space narrowing at 12 months.

Results: Using COR IW TSE images, our classification model achieved a ROC AUC score of 65%.

Integrating deep learning CT-scan model, biological and clinical variables to predict severity of COVID-19 patients.

The SARS-COV-2 pandemic has put pressure on intensive care units, so that identifying predictors of disease severity is a priority. We collect 58 clinical and biological variables, and chest CT scan data, from 1003 coronavirus-infected patients from two French hospitals. We train a deep learning model based on CT scans to predict severity.

Association of ATP synthase alpha-chain with neurofibrillary degeneration in Alzheimer's disease.

Amyloid deposits and neurofibrillary tangles (NFT) are the two hallmarks that characterize Alzheimer's disease (AD). In order to find the molecular partners of these degenerating processes, we have developed antibodies against insoluble AD brain lesions. One clone, named AD46, detects only NFT.

Platelet activation in thrombotic disorders.

Recent advances have resulted in the elucidation of the principal molecular pathways of platelet function. Parallel studies have led to the identification of glycoprotein antigens whose presence at the platelet surface indicates an activated state. Such markers include GMP-140 and other glycoproteins of intracellular membranes whose translocation requires secretion and fusion of granule membranes with those joined to the surface.

[Tolerability of tianeptine in 170 patients with depression treated during one year].

Tianeptine, a new antidepressant, has a tricyclic molecular structure. Its main biochemical activity consists of an increase in the reuptake of 5 HT both in men and animals, after acute and chronic administration. Tianeptine demonstrated its antidepressive clinical efficacy in several double-blind versus reference drug trials.