Immunization Barriers Among Newcomers

The Hospital for Sick Children (SickKids) is the largest paediatric hospital in Canada, and partners both locally and globally to improve the health of children through the integration of care, education, community advocacy, and patient/family partnerships. As a cornerstone of the work of the Division of Infectious Diseases, immunization is one of the most important […]

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Biosignal Transformers for Advanced Blood Pressure Waveform Analysis

This project aims to develop advanced machine learning models to analyze arterial blood pressure (ABP) waveforms from patients in intensive care units (ICUs). By using a large dataset and cutting-edge techniques like transformer architectures and contrastive learning, the goal is to create models that can accurately predict patient outcomes, such as ICU mortality and hospital […]

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L2M_Marketing Strategy for VT-Patch, a medical smart patch as RPM system.

The VT-PATCH project addresses a crucial gap in pediatric healthcare by introducing a user-friendly medical patch designed for short-term, continuous monitoring of infants and young children. Unlike the current complex system of multiple devices and wires, the VT-PATCH offers an all-in-one solution to measure vital signs like heart rate, respiratory rate, blood oxygen saturation, and […]

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Building a semi-supervised machine learning model to predict biomolecular condensates

Princess Margaret Cancer Centre belongs to the University Health Network (UHN), Canada’s leading biomedical research organization. The Centre focuses on cancer research across various fields, including genomics, informatics, signaling, health services, and biophysics. Dr. Kumar’s lab is currently investigating the consequences of genomic alterations in intrinsically disordered regions (IDR). IDRs are present in proteins that […]

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Structural brain connectivity in predicting treatment outcomes in major depression

(1) CAMH is a research hospital that aims to improve the provision of clinical care to clients with psychiatric conditions through research. Through analyses of large-scale multi-modal data and clinical trials with biological assessments, the Kimel TIGR lab seeks to identify biological bases of psychiatric conditions that can be targeted using existing and novel treatments, […]

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Debugging the Brain: Reading and Writing Human Cortex using Electroencephalography (EEG) and Transcranial Magnetic Stimulation (TMS)

The Temerty Centre for Therapeutic Brain Intervention aims to find new understandings of and approaches for hard-totreat mental illnesses across patients’ lifespans by delivering high quality clinical care and research using brain stimulation and psychedelic therapies. Personalized modulation of brain networks with Transcranial Magnetic Stimulation (TMS) is a promising treatment for neuropsychiatric brain disorders such […]

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Pollution control of gas mixtures: gas monitoring and detection of contaminants usingnovel THz technology Year Two

Electric power plants are the number one toxic air polluters in North America. The emitted pollutants are proven to cause serious health and environmental issues. The emission of Carbon dioxide and of other pollutants, such as nitrogen oxides, sulfur dioxide – major drivers of the human-accelerated global climate change- must be monitored insitu. Our goal […]

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L2M – Commercial Validation and MVP Development of a Pediatric Biofeedback Tool for Grip and Pinch Strength Assessment

Pediatric therapists struggle to obtain accurate grip strength measurements because current tools were originally designed for adults. These tools require excessive hand strength and fail to engage children, leading to unreliable data. As a result, therapists often resort to subjective estimates, making it difficult to track progress, tailor treatment plans, or justify therapy to insurance […]

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Implementing a Computer Vision-based Collision Avoidance System for a Collaborative Surgical Assistant Robot

This project aims to enhance the safety, precision, and efficiency of robotic surgical assistants — collaborative robots designed to work alongside surgeons — by developing a computer vision-based system that prevents collisions in real time. Using cameras and advanced image processing techniques, the system will monitor the operating room, detecting people and other obstacles. It […]

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Analyse des sentiments vocaux bilingues : Améliorer l’intelligence émotionnelle de l’IA

Paperminds est une entreprise en intelligence conversationnelle qui repense la façon dont les marques se connectent avec leurs parties prenantes par l’art de la conversation et la science de la compréhension. Nous combinons la science comportementale avec des technologies d’apprentissage profond avancées pour créer des conversations hyper personnalisées à grande échelle, transformant les transactions traditionnelles […]

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