Latest News

Computational model unveils dynamics of Deep Brain Stimulation 

April 22, 2024

Deep Brain Stimulation (DBS) has been a longstanding adjunctive therapy for movement disorders like Parkinson’s disease, yet its precise mechanisms of action have remained elusive. In a recent study published in the journal Neuromodulation, Dr. Milad Lankarany and his team have introduced a computational model that accurately predicts the dynamics of neuronal activity during DBS across various frequencies.

Club for Undergraduate Biomedical Engineering Awarded the University of Toronto Student Life “Program of the Year” for Promoting Innovation and Collaboration 

April 19, 2024

The Club for Undergraduate Biomedical Engineering (CUBE) at the University of Toronto continues to garner recognition for its exceptional achievements and contributions to the university community. Recently, CUBE was honoured to receive the 2024 “Program of the Year” Award from U of T Student Life for its commitment to excellence and innovation in promoting biomedical engineering at the campus. In 2023 – 2024 academic year, CUBE hosted a total of 10 events and 11 workshops.

students at a conference

New research aimed to improve early childhood music education

April 18, 2024

Researchers from the University of Toronto have unveiled a new technological breakthrough that promises to transform early childhood music education. The study addresses a critical gap in musical instrument classification, particularly concerning non-pitched percussion instruments. The findings are published in a recent issue of PLOS one.

Accelerate Seed Grant recipient aims to improve delivery of drugs that treat brain diseases using self-driving lab technology

April 17, 2024

Professor Leo Chou have received Acceleration Consortium Seed Grant funding for his research on building DNA origami as a delivery vehicle for therapeutic agents

Dr. Omar F. Khan honoured with the McCharles Prize for early career research distinction 

April 16, 2024

Professor Omar F. Khan has been awarded the prestigious McCharles Prize for Early Career Research Distinction for his contributions to the fields of biomedical and immune engineering. 

Enhancing Balance Rehabilitation

April 12, 2024

Researchers from UHN’s KITE Research Institute have investigated a new affordable and clinically accessible training system for improving the standing balance of spinal cord injury patients. The team led by Dr. Kei Masani, KITE Senior Scientist and senior author of the study, investigated the integration of low-cost and portable sensors like a depth camera and pressure mat, which use motion tracking and distribution of pressure, respectively, to analyze movement.

Faces of BME – Amy Huang

April 12, 2024

Meet Amy Huang: a fourth-year undergraduate student majoring in biomedical engineering and currently undertaking her thesis work in Professor Cristina Amon’s lab. Amy’s journey into engineering was sparked by her passion for hands-on projects and her innate ability to turn abstract concepts into real-world solutions. Excelling in her academic pursuits, Amy was one of the recipients of the University of Toronto Student Leadership Award in 2024. In her spare time, Amy has been deeply involved in the Club for Undergraduate Biomedical Engineering (CUBE) and has served as its co-president, fostering unity and providing invaluable opportunities for fellow students.

Professor Warren Chan joins Nanyang Technological University of Singapore as Dean of Engineering

April 11, 2024

Professor Warren Chan, a world-renowned expert in nanobiotechnology, has been recruited as the next Dean of the College of Engineering at Nanyang Technological University (NTU) in Singapore. Professor Chan will oversee one of the largest Engineering schools in the world with over 14,000 students and has been ranked among the top 15 Engineering schools in the world according to QS World University Rankings. He will provide leadership for the strategic, academic, intellectual, and administrative endeavours at NTU.

New study reveals insights into extracellular matrix’s influence on regeneration

April 11, 2024

A study published in the Journal of Cell Science, led by Professor Penney Gilbert (BME) and Jo Nguyen at the University of Toronto, shed light on the impact of culture substrate stiffness and extracellular matrix (ECM) ligands on the contractility, proliferation, and various cellular processes of human myoblasts. The study aims to understand how these factors influence the regenerative activities of muscle stem cells and their progeny, with implications for aging and disease. 

Faces of BME – Angelico Obille

April 10, 2024

As a graduate student navigating the complexities of bioadhesion research, Angelico Obille recognizes the importance of effective communication, both within the scientific community and to the broader public. Beyond his academic endeavors, Angelico’s love for music, cultivated since childhood, serves as both a creative outlet and a metaphorical lens through which he views the scientific process.

Getting LIT: An alumni profile with Professor Jeffrey Karp

April 9, 2024

Professor Jeffrey Karp earned his PhD in collaboration with BME at the University of Toronto in 2004. Focusing on the philosophy of translation, he has since become a professor at Harvard Medical School, translating many of his research topics into commercially viable products – ranging from nasal sprays for disinfection to bioadhesive tapes used in surgery. Professor Karp recently published his first book, “LIT: Life Ignition Tools,” discussing insights and advice gleaned from conversations with internationally renowned experts on building new habits.

Research utilizes machine learning to improve gait analysis in rehabilitation

April 8, 2024

The latest research led by Prof. Jan Andrysek published in a peer-reviewed article showcases a pioneering approach to gait analysis, a crucial aspect of rehabilitation and clinical diagnosis. Clinicians have long relied on gait indicators like step length, stride velocity, and joint angles to assess and treat gait issues. However, traditional statistical methods have limitations in analyzing the vast sets of data generated by instrumented gait analysis techniques.