Listen to Madhu’s latest interview on CBC Radio One’s The Sunday Magazine with Piya Chattopadhyay on Omicron and vaccine equity.
Good wishes for 2022 from Nobel laureates and Madhukar Pai
See what Nobel laureates, like Malala Yousafzai, and Madhu’s answers to NPR’s question “If you could wish for one thing in 2022, what would it be?“.
3-minute thesis competition – Lavanya Huria wins!
Congratulations to Lavanya for winning the 3-minute thesis competition of McGill’s EBOH department!
Effect of COVID-19 on TB care – new paper
Read Madhukar Pai and colleagues’ new paper “Covid-19’s Devastating Effect on Tuberculosis Care — A Path to Recovery” in The New England Journal of Medicine.
New systematic review and meta-analysis
You can read “Biomarkers That Correlate with Active Pulmonary Tuberculosis Treatment Response: a Systematic Review and Meta-analysis” published in the Journal of Clinical Microbiology. This was a collaborative effort that involved Alexandra Zimmer (first author) along with Nathaly Aguilera Vasquez, Emily MacLean, and Mikashmi Kohli.
COVID-19 variants – commentary
Read the new commentary piece from Madhukar Pai and Manu Prakash “We are playing whack-a-mole with variants – and the virus is winning” published in the Telegraph.
New CIHR grant – AI-based COVID-19 screening
Madhu and team have been awarded a new CIHR grant “Artificial intelligence-based analysis of cough for COVID-19 screening in Montreal“. This project will be done in collaboration with the CHUM. Congratulations!
Congratulations to Paulami Sen and Lena Faust
Congratulations to Paulami who is now an MSc grad! Congratuations as well to Lena, who successfully defended her PhD thesis protocol!
Madhukar Pai’s interview on NPR
Read (or listen to) Madhu’s interview with Ari Shapiro on NPR, about vaccine inequity and the emergence of new COVID-19 variants.
Pipeline report on TB diagnostics
Congratulations to Mikashmi Kohli and Emily MacLean for their contributions to the TAG Pipeline report “Tuberculosis Diagnostics – Steady progress to bring TB diagnosis closer to the point of care“.