Investigation of changing of peroxisome and Mitochondria in metabolic change

Metabolic disorders are growing into a large health crisis worldwide. One common fact shown in these diseases is impaired function of mitochondria. Several treatments for metabolic diseases therefore aim to normalize or even boost up the activity mitochondria. The role of peroxisomes, on the other hand, is relatively neglected, despite its close connection with mitochondria. […]

Read More
Investigation of impact of predatory bacteria in simulated gut microbiome, Robogut

Gut microbiome stability appears to be essential for keeping health nowadays. Then, the needs to develop proper tools to modulate microbiome become important issue. In this proposal, we suggest predatory bacteria as microbiome modulator. Predatory bacteria are ubiquitous in the environment and non-toxic to mammalian cells. Recent researches proved the existence of predatory bacteria inside […]

Read More
Utilisation de l’intelligence artificielle pour détecter les intentions de mouvements chez un amputé.

Afin de remédier à la perte d’autonomie chez un amputé, l’utilisation d’une prothèse active, c’est-à-dire qui effectue des mouvements, est recommandée. Toutefois, leur contrôle peu naturel explique pourquoi les amputés adhèrent difficilement à cette solution. Or, un contrôle beaucoup plus intuitif pourrait être effectué en détectant en premier lieu le mouvement souhaité par l’amputé puis […]

Read More
The Minds in Motion Initiative: An Evaluation

Homes for Mental Health, Inc. This initiative has three main goals: to assist mental health consumers in the recovery process by providing access to physical health activities, to raise awareness in the community at large about mental health issues, and to provide a unique walking race experience for athletes and amateurs alike. The study will […]

Read More
Generation of decidua specific decorin knockout mice.

Dysfunctions of the placenta leads to a serious pregnancy associated disease of the mother called preeclampsia (PE) and certain forms of fetal growth restriction (FGR) that are hard to treat or prevent. Our laboratory has shown that overproduction of decorin, a molecule made by the pregnant uterus, leads to placental defects resulting in PE and […]

Read More
Establishment of a Pressure Ulcer Biobank from Spinal Cord Injury Patients

Pressure ulcers (PUs) are a major health problem in people with spinal cord injuries (SCIs). PUs increase hospital admissions, with 25% of SCI treatment cost linked to PU management. Currently, treatment is limited and new therapeutic options are required. Wound fluid from PUs is invaluable for researchers as it allows a detailed study of the […]

Read More
The social license to operate: insights from Eeyou Istchee

The rise of local corporate–community conflicts surrounding development projects represents a trend rather than exceptional events, highlighting corporate–community relations as a prominent strategic issue. Despite the emergence of these issues for businesses, civil society, and governments, we still have a limited understanding of the conditions necessary for building and maintaining good relations over a long […]

Read More
Mechanism Determination of the Effects of Pancratistatin on Cancerous Mitochondrial Membranes

Pancratistatin (PST) has been shown to selectively eliminate human cancer cells, but has not been used extensively in clinical trials due to its low availability in nature. Recently, different forms of PST have been synthesized and have demonstrated anti-cancer activity. These synthesized PST molecules have been tested on prostate, pancreatic, osteosarcoma and colorectal cancer cells. […]

Read More
Radiomic-based deep learning for time-to-event outcome in pulmonary malignancies.

Advances in medical image scanning technologies has allowed for great improvement in medical care, from early tumor detection, to trailered treatments and predicting treatment outcome. However, this has resulted in the generation of huge medical image databases, with thousands of medical image scans per patient that need to be examined by clinicians, making it impractical […]

Read More
Classification of radiological observation through image-sentence association

Imagia is an AI-driven personalized healthcare company, enabling collaborative development of predictive biomarkers. Its Evidens platform unites deep learning expertise and clinical insights on federated patient data from partnered hospitals & AI research institutions. Imagia delivers impactful solutions to healthcare providers, pharmaceutical companies and medical device manufacturers. Imagia’s mission is to leverage advances in artificial […]

Read More