Un stagiaire cherche à protéger la propriété intellectuelle liée au développement d’un vaccin contre la COVID-19

Selon l’Agence de la santé publique du Canada, on compte un total de 71 486 cas de COVID-19 au 13 mai 2020, dont 83 % en Ontario et au Québec, des provinces qui déplorent à elles deux 92 % du nombre total de décès au pays. Avec un taux de mortalité de 3,4 %, la COVID-19 a créé une demande sans précédent — et croissante — de vaccin.

Modeling order book dynamics

Optimal trade execution is a well-known problem in quantitative finance. It helps financial actors who trade large quantities of a given asset minimize their risk and their adverse price impact. The problem’s complexity is multiplied when
considering highly fragmented markets, such as those existing today for digital assets. The most recent advances in reinforcement learning and deep learning open the door to a new class of execution algorithms. This data-driven algorithm class reliefs many assumptions from the classical solutions coming from stochastic optimal control theory.

Évaluation cinématique et dynamique pour mesurer l’effet du port d’une orthèse de genou

Médicus développe et fabrique des orthèses dont une orthèse de genou pour réduire les douleurs associées à une rupture du ligament croisé antérieur (LCA) en modifiant la biomécanique du genou. Les techniques et modèles couramment utilisés en biomécanique ne permettent pas d’évaluer l’effet de cette nouvelle orthèse puisque certaines parties du genou sont cachées par l’orthèse en compliquent la capture du mouvement (motion capture).

Création et validation de l’Échelle d’attitude envers l’argent (EAEA)

Bien qu’il ne semble pas y avoir de consensus en ce qui concerne le concept d’attitude envers l’argent, la plupart des chercheurs s’intéressant au sujet considèrent qu’il « s’agit d’un construit psychologique stable qui est caractérisé par les significations que l’individu attribue à l’argent et qui conduit à des types de comportements à son égard » (Urbain, 2000, p.5). Or, relativement peu d’instruments de mesure ont été développés et validés afin de faire une évaluation juste de ce concept.

Ground Truth

The goal of the project is to develop a predictive model that will help to make a better estimate of the relative altitude using only the barometer sensor inside the Notio device. This measurement of a precise relative altitude is crucial since it is used to compute the slope, which is an important data for the cyclist and will make the Notio even better. The difficulty of this task comes from the fact that the measurement of the altitude from the sensor has a tendency to drift and thus the computed slope also does.

Evaluation of vascular normalization effect in the tumoral microenvironment

One of the main problems facing current cancer therapies, including chemotherapy and immunotherapy, is the poor functionality of the blood vessels present in tumours. Indeed, tumour blood vessels are highly abnormal, and this leads to poor perfusion, resulting in poor delivery of oxygen to the tumour. This has profound consequences for cancer therapies, as the lack of oxygen in the tumours impedes the tumour-killing functions of immune cells or the diffusion and efficacy of cancer drugs.

Optimization of specific Frizzled Receptor-targeted antibodies signalling responses

Therapeutic antibodies have been developed against a variety cancer cell surface proteins. These antibodies activate immune surveillance mechanisms that lead to destruction of cancer cells. Therapeutic antibody efficacy can be enhanced or might have unforeseen detrimental effects due to activation or inhibition of intracellular signaling pathways. Recent evidence suggests that the targeting of subtypes of the developmentally important Frizzed receptor subtypes could have great therapeutic efficacy in the treatment of several cancers and developmental disorders.

Enhancing TIL-mediated anti-tumour immunity by reducing the immunosupressive effects of TGF-beta and limiting effector T-cell exhaustion using intrabodies against negative intracellular down-modulators

Adoptive cell therapy using transferred tumour infiltrating lymphocytes (TILs) is limited by the physical barrier created by a restrictive tumour microenvironment (TME) and by T-cell inactivation within the TME. Thus, minimizing the immunosuppressive effects of the TME and overcoming T-cell inactivation is crucial. AVID200 is a potent TGF-beta inhibitor designed by Forbius that selectively neutralizes TGF-beta1 & -beta3 with picomolar potency that reverses immunosupression, fibrosis & renders tumors sensitive to checkpoint blockade.

Machine/Deep Learning applied in P&C insurance representations

The purpose of this project is to allow the company to have access to useful insurance representations, encoding the diversity of contexts found in larger markets. This is expected to boost the performance of predictions for tasks learned in small data and highly variable target setting.

Development of a neural network algorithm to quantify chronic osteoarthritic pain in rats

The progression of pain research has been limited because of the overreliance on nociceptive assessment tools. These nociceptive assessment tools only assess the sensory component of pain and neglect its emotional component. It has been suggested that behavioural tools, such as the grimace scales, can assess the emotional component of pain. The use of various molecular markers are also promising new avenues to assess pain in various experimental models. The concurrent use of all three types of assessment methods will build a more accurate and complete picture of pain.

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