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AIMMLab—Artificial Intelligence and Mathematical Modelling Lab

@aimmlab.bsky.social
41 followers 2 following 170 posts

Home to CRC in Community-Oriented Disease Modeling, AI4PEP and ACADIC | Expert in AI, Data Analytics & Mathematical Modelling| Design & Deploy AI and Mathematical solutions for decision-makers in various sectors.

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AIMMLab—Artificial Intelligence and Mathematical Modelling Lab @aimmlab.bsky.social · 21/08/2026
🎉 AIMMLab proudly celebrates Prof. @dzevela on being named a 2026 University of Alberta Alumni Horizon Award recipient: lnkd.in/gr47Dmv9! 🏆 A well-deserved recognition of his leadership and impact in AI, modeling, public health, and mentorship. Congratulations 👏
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AIMMLab—Artificial Intelligence and Mathematical Modelling Lab @aimmlab.bsky.social · 19/08/2026
📢 Happening today! Join AIMMLab Director Prof. Jude Kong and Dr. Zahra Movahedi Nia as they present on AI-supported public health surveillance at mass gatherings. 🕑 2:00–2:30 p.m. ET 💻 In person or via Zoom 🎟️ Free registration: lnkd.in/g7wU_rVX
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AIMMLab—Artificial Intelligence and Mathematical Modelling Lab @aimmlab.bsky.social · 12/08/2026
📢 Join Prof. Jude Kong and Dr. Zahra Movahedi Nia at the First Symposium on Crowd Management and Safety. 🗓 Aug 19 | 2 PM ET 📍 York University + Zoom 🎟 Free Talk: Agentic AI for public health surveillance at mass gatherings. www.yorku.ca/cifal/crowdm...
yorku.ca
First Symposium on Crowd Management and Safety in Mass Gatherings - CIFAL
Quick Info Symposium Date: August 19, 2026 Symposium Time: 9:00 AM - 5:00 PM EST Location: ADERSIM Lab, Schulich Building, York University, 111 Ian Macdonald Boulevard, Toronto, Canada     In person a...
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AIMMLab—Artificial Intelligence and Mathematical Modelling Lab @aimmlab.bsky.social · 12/08/2026
🌍 Mitacs GRI 2027 applications are open! AIMMLab is offering 9 projects with Prof. Jude Kong at the Dalla Lana School of Public Health, University of Toronto. Codes: 52456 • 52457 • 52458 • 52459 • 52460 • 52461 • 52462 • 52463 • 52464 📅 Deadline: Sept 16, 2026 globalink.mitacs.ca
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AIMMLab—Artificial Intelligence and Mathematical Modelling Lab @aimmlab.bsky.social · 09/08/2026
🧠 PREPRINT UPDATE 📄 Mathematical Representation of Adaptive Human Behavior in Mechanistic Epidemic Models: A Systematic Review Across 376 studies, AIMMLab researchers identify gaps in validation, theory and reproducibility. papers.ssrn.com/abstract=723...
papers.ssrn.com
Mathematical Representation of Adaptive Human behavior in Mechanistic Epidemic Models: A Systematic Review
Adaptive human behavior can significantly affect the dynamics of an infectious disease. These effects, through changes in contact patterns, vaccination uptake,
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AIMMLab—Artificial Intelligence and Mathematical Modelling Lab @aimmlab.bsky.social · 09/08/2026
📢 NEW PUBLICATION UPDATE| AIMMLAB A new JMIR paper co-authored by AIMMLab Director Prof. Jude Kong introduces the Open Syndrome Definition, an open, machine-readable standard that helps AI use public-health case definitions consistently. Read here: www.jmir.org/2026/1/e86249/
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AIMMLab—Artificial Intelligence and Mathematical Modelling Lab @aimmlab.bsky.social · 09/08/2026
🚨 PREPRINT UPDATE African-led AI built for one epidemic can help respond to the next. New research from AIMMLab Director Prof. Jude Kong and colleagues connects COVID-19 infrastructure to mpox, Ebola, and future outbreaks. Read on SSRN papers.ssrn.com/abstract=722...
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AIMMLab—Artificial Intelligence and Mathematical Modelling Lab @aimmlab.bsky.social · 08/08/2026
🚨 𝓟𝓡𝓔𝓟𝓡𝓘𝓝𝓣 𝓤𝓟𝓓𝓐𝓣𝓔: A new research featuring AIMMLab Director Prof. Jude Kong explores how Global South leadership, community co-creation, and sustainable networks can move AI for global health beyond short-term pilots. 📄 Read on SSRN: papers.ssrn.com/sol3/papers....
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AIMMLab—Artificial Intelligence and Mathematical Modelling Lab @aimmlab.bsky.social · 01/08/2026
AIMMLab at IEEE EMBC 2026! Our postdoctoral fellow Dr. Gelan Zewdie, supervised by AIMMLab Director Prof. Jude D. Kong, presented “Multimodal Data Fusion for Community-Based Measles Triaging” in Toronto, advancing the use of multimodal AI for measles risk classification. #DigitalHealth
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AIMMLab—Artificial Intelligence and Mathematical Modelling Lab @aimmlab.bsky.social · 01/08/2026
One summer. Four countries. Four research directions. One shared question: how can PINNs advance epidemic modelling? AIMMLab congratulates FUSRP students Kevin, Sara, Antong & Maximiliano, jointly supervised by AIMMLab Director Prof. Jude Kong and Prof. Divya Sharma. 👏
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AIMMLab—Artificial Intelligence and Mathematical Modelling Lab @aimmlab.bsky.social · 22/07/2026
Toward a new collaboration in AI for Global Health Security 🌍 AIMMLab was pleased to welcome Prof. Vukosi Marivate, Director of AfriDSAI at the University of Pretoria, for discussions on advancing collaboration between UofT and UP in AI, data science, modeling, and health security. #AIMMLab
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AIMMLab—Artificial Intelligence and Mathematical Modelling Lab @aimmlab.bsky.social · 21/07/2026
🌟 #AIMMLab #Outreach We were pleased to support Hackathon APRO 2026, where young participants came together to turn ideas into projects and prepare final pitches. A special thank you to Ursanne for representing AIMMLab as a mentor and helping students develop their ideas.
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AIMMLab—Artificial Intelligence and Mathematical Modelling Lab @aimmlab.bsky.social · 20/07/2026
🚨 AIMMLab Recap | 07/17/2026 This week, Dr. Yang Xu led an excellent discussion on scoping reviews, systematic reviews, and how new researchers can use reviews to understand a field and find their research direction. 📌 Link to slides: aimmlab.org/research-too...
aimmlab.org
Research Toolbox - AIMM Lab
Research Toolbox — AIMMLab Tools, software, and resources that AIMMLab uses across statistical modelling, NLP, systematic reviews, and data science with installation guides and links to lab publicatio...
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AIMMLab—Artificial Intelligence and Mathematical Modelling Lab @aimmlab.bsky.social · 18/07/2026
Beyond the slogan: AI for Good must shape who benefits, who participates, and who helps define the future. Yesterday, AIMMLab Director Prof. Jude Kong joined the Dynamic Coalition on Digital Economy’s dialogue, AI for Good. AI for All. The future of AI should be shared.
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AIMMLab—Artificial Intelligence and Mathematical Modelling Lab @aimmlab.bsky.social · 11/07/2026
Our latest publication is out in npj Digital Medicine! 🌍🤖 One challenge. Three languages. One AI solution. AFP Assistant uses a fine-tuned LLM and RAG to support polio awareness and reporting in Amharic, Afaan Oromo, and English. 🔗 doi.org/10.1038/s417...
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AIMMLab—Artificial Intelligence and Mathematical Modelling Lab @aimmlab.bsky.social · 11/07/2026
🌍Day 3 at AI for Good in Geneva! Represented by Prof. Jude Kong, @AimmLab continues to connect with global partners, exchange ideas, & explore collaborations around responsible AI, public health innovation, and social impact. A meaningful week of conversations and possibilities.
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AIMMLab—Artificial Intelligence and Mathematical Modelling Lab @aimmlab.bsky.social · 08/07/2026
🌍 Day 2 at AI for Good in Geneva! Our Director, Prof Jude Kong joined discussions on how AI is reshaping higher education, research, skills development and the future workforce. 🤝 The day also brought a chance to reconnect with the AI4D community, IDRC and FCDO colleagues.
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AIMMLab—Artificial Intelligence and Mathematical Modelling Lab @aimmlab.bsky.social · 07/07/2026
🌍 AIMMLab at the AI for Good Global Summit in Geneva! Our Director, Prof. Jude Kong, will be contributing to discussions on AI in education, research, skills development, and practical, inclusive AI governance for public health. Visit the AI for Global Majority booth tand learn more about our work.
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AIMMLab—Artificial Intelligence and Mathematical Modelling Lab @aimmlab.bsky.social · 06/07/2026
🚨 AIMMLab Lab Meeting Recap | 07/03/2026 M Josee Uwanyirigira explored malaria vulnerability across Rwanda using spatial analysis and machine learning, highlighting climate, environmental, and socioeconomic drivers of risk. 🏆 Max made it 2 trivia wins in a row! Three-peat next week? 👀
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AIMMLab—Artificial Intelligence and Mathematical Modelling Lab @aimmlab.bsky.social · 02/07/2026
Outbreaks are measured in cases but understood through conversations. New AIMMLab research examines Reddit discussions during the 2022 Mpox outbreak, using NLP to analyze sentiment, topics, and engagement across 1,169 posts and 6,571 comments. Link : www.jmir.org/2026/1/e90152
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AIMMLab—Artificial Intelligence and Mathematical Modelling Lab @aimmlab.bsky.social · 28/06/2026
AIMMLab Summer Lab Meeting | 06/26/2026 Excellent talk from Nay El Nakib on clinical AI deployment in Africa. Nay is a Rotman Commerce student at @UofT, developing her AI expertise at AIMMLab and connecting economics, health systems, data, and responsible innovation.
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AIMMLab—Artificial Intelligence and Mathematical Modelling Lab @aimmlab.bsky.social · 22/06/2026
🌍 AIMMLab celebrates Prof. @dzevela.bsky.social for joining the Global Health Otherwise Advisory Board. As Global Health Otherwise wrote: “Some tables are built to keep things exactly as they are. This one was built to change them.” Proud to see Prof. Jude at a table built for change.
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AIMMLab—Artificial Intelligence and Mathematical Modelling Lab @aimmlab.bsky.social · 21/06/2026
X🎉 AimmLab Weekly Lab Meeting This week, we celebrated our Director, Prof. @dzevela Kong, on his birthday. Congratulations to Gelan Ayana Zewdie, Ph.D., for winning the “How Well Do You Know Jude?” trivia! 🏆 Happy birthday, Prof. Jude — from all of us at AIMMLab.
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AIMMLab—Artificial Intelligence and Mathematical Modelling Lab @aimmlab.bsky.social · 18/06/2026
🚨 AIMMLab Publication Update Our new article in Tropical Medicine and Health examines Ethiopia’s preparedness for a potential Mpox outbreak. Findings highlight gaps in lab capacity, contingency plans, trained staff, PPE, funding, and coordination. 🔗 doi.org/10.1186/s411...
doi.org
A rapid evaluation of the preparedness of Ethiopia's disease surveillance system for Mpox outbreak: a cross-sectional study of perspectives from professionals across various levels - Tropical Medicine and Health
Background The potential re-emergence of Mpox poses an increasing public health concern in the Horn of Africa, particularly in Ethiopia. This study examined perceptions of preparedness among surveyed surveillance professionals in Ethiopia regarding the disease surveillance system's ability to detect and respond to a potential Mpox outbreak. Methods A descriptive cross-sectional survey design was employed, utilizing a structured 58-item questionnaire that assessed preparedness across five domains: general awareness and understanding, surveillance infrastructure and resources, coordination and communication, preparedness and response, and policy, training, and equity. The survey was distributed to disease surveillance professionals at both federal and regional levels through purposive sampling. The data were analyzed using descriptive statistics, Mann–Whitney U tests, Cramér’s V, and content analysis. Results Among the 42 surveyed surveillance professionals, 45.3% believed that the surveillance system could effectively respond to an Mpox outbreak, while 54.7% disagreed, reflecting divided perceptions within the sample. Respondents identified several perceived gaps, including limited awareness of Mpox-specific protocols, insufficient training, inadequate diagnostic capacity, and fragmented coordination across sectors. A substantial proportion of respondents reported system-related challenges, with 83.3% perceiving laboratory facilities as inadequate and 78.6% noting the absence of contingency plans. In addition, 57.1% indicated that their organizations lacked staff trained on Mpox, and 59.5% reported no stockpiles of personal protective equipment. Overall, the surveyed professionals expressed mixed perceptions of preparedness, with notable concerns regarding resource allocation, infrastructure, and policy implementation. Conclusions The study identifies perceived gaps among the 42 surveyed surveillance professionals regarding Mpox preparedness in Ethiopia, highlighting the need for enhanced training, strengthened infrastructure, improved coordination, and more equitable resource distribution. Addressing these gaps through targeted interventions may help strengthen disease surveillance capacity and improve the ability to detect, respond to, and manage emerging health threats such as Mpox.
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AIMMLab—Artificial Intelligence and Mathematical Modelling Lab @aimmlab.bsky.social · 14/06/2026
🦟 AIMMLab Summer Series Recap | 12-06-26 AimmLab hosted Dr. Victoria Ng from the Public Health Agency of Canada for a seminar on mosquito surveillance, TIMO-CS, and AI-assisted mosquito identification. The discussion opened new collaboration opportunities with AIMMLab.
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AIMMLab—Artificial Intelligence and Mathematical Modelling Lab @aimmlab.bsky.social · 10/06/2026
#AHTSxCanada 2026 Day 1 Recap Reflecting on AIMMLab’s participation at #AHTSxCanada, spotlighting Prof. Jude Kong and Dr. Gelan Ayana Zewdie on agentic AI, connected care, and inclusive innovation. Grateful to the panelists and organizers, and who made the discussions impactful.
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AIMMLab—Artificial Intelligence and Mathematical Modelling Lab @aimmlab.bsky.social · 07/06/2026
🚨 AIMMLab Summer Lab Meeting Recap | 06/05/2026 AIMMLab opened its Summer Lab Series with Kene Esom’s insightful talk on digital ID, health access, and human rights governance. Looking forward to more engaging talks. #AIMMLab #SummerLabSeries #DigitalIdentity #HealthEquity #HumanRights #DataJustice
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AIMMLab—Artificial Intelligence and Mathematical Modelling Lab @aimmlab.bsky.social · 08/05/2026
On May 6, #AIMMLab joined the "Made-in-Canada Solutions for Global Health Security" Science Fair on Parliament Hill! 🇨🇦 Our Director, Prof Jude Kong showcased AI innovations from AIMMLab. Grateful to @ResultsCda, @IDRC_CRDI & the MPs/Senators who joined us! #GlobalHealth #AI4Good
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AIMMLab—Artificial Intelligence and Mathematical Modelling Lab @aimmlab.bsky.social · 30/04/2026
📢Our new paper is out! Physics-informed spatiotemporal analysis of methane in oil sands regions 🔹 PINNs + satellite + ground data 🔹 Captures extreme emissions 🔹 Physically consistent + robust Pushing toward reliable, real-world CH₄ monitoring. Thanks to @NSERC_CRSNG
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AIMMLab—Artificial Intelligence and Mathematical Modelling Lab @aimmlab.bsky.social · 27/04/2026
AIMMLab is excited to share that our Director, Prof. Jude Kong, will be speaking at Africa Healthtech Summit Canada (AHTSx Canada). Advancing AI, mathematical modelling, and global health for real-world impact. 📅 June 9–10, 2026 📍 University of Toronto #AIMMLab #AIforHealth
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AIMMLab—Artificial Intelligence and Mathematical Modelling Lab @aimmlab.bsky.social · 23/04/2026
Happening today: AIMMLab’s Director, Prof. Jude Kong will deliver a keynote on AI in Clinical Practice & Health Systems for Nigeria 🇳🇬 From diagnostics to real-world deployment, the talk focuses on practical, evidence-based AI for health systems. 🔗 luma.com/j7ol3v37 ⏰ 10:00 AM EST
luma.com
Artificial Intelligence in Medical Practice & Healthcare Standards in Nigeria · Zoom · Luma
This event is curated for medical professionals and health system leaders on positioning to influence the adoption trajectory of AI in Nigerian healthcare.
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AIMMLab—Artificial Intelligence and Mathematical Modelling Lab @aimmlab.bsky.social · 13/04/2026
Our new preprint is out! We use Physics‑Informed Neural Nets + symbolic regression to discover how risk perception, adaptive behavior, and surveillance bias shape epidemic transmission. Grateful to @NSERC_CRSNG for the support. 📄https://tinyurl.com/5n7uauks
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AIMMLab—Artificial Intelligence and Mathematical Modelling Lab @aimmlab.bsky.social · 11/04/2026
AIMMLab Weekly Meeting | 04/10/2026 Dr. Zahra Nia gave a talk on “Adolescents with HIV: The Case of Cameroon,” exploring who should be prioritized for CD4 testing when resources are limited. A timely conversation on adolescent HIV care, equity, and global health. Trivia by Ebenezer. Win by Arjun.
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AIMMLab—Artificial Intelligence and Mathematical Modelling Lab @aimmlab.bsky.social · 07/04/2026
Celebrating a new AIMMLab milestone! 🎉 Congrats to Manal Karmoude on receiving the Mitacs Globalink Research Award for AI and Data Science research in Canada. #Mitacs
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AIMMLab—Artificial Intelligence and Mathematical Modelling Lab @aimmlab.bsky.social · 30/03/2026
AIMMLab Partnership Spotlight | 3/27/2026 We were pleased to welcome Youri Wims to discuss a potential partnership on how AI can help accelerate charitable giving and strengthen community impact. #AIMMLab #AI #Philanthropy #SocialImpact
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AIMMLab—Artificial Intelligence and Mathematical Modelling Lab @aimmlab.bsky.social · 30/03/2026
AIMMLab Weekly Meeting Highlights | 3/27/2026 🧠 This week, Sherif Shuaib gave a talk on "Modelling climate-driven shifts in marine fish & community impacts using modelling + data science." 🎉 Kira hosted trivia, Arjun won! #AIMMLab #ClimateChange #Fisheries #Ecology #MathematicalModeling #Canada
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AIMMLab—Artificial Intelligence and Mathematical Modelling Lab @aimmlab.bsky.social · 26/03/2026
📚 March Publications Spotlight: Mar_1!!! We are proud to share a new publication titled “Infectious disease burden and surveillance challenges in Jordan and Palestine: a systematic review and meta-analysis,” featuring our director, Prof. Jude Kong, and other collaborators.
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AIMMLab—Artificial Intelligence and Mathematical Modelling Lab @aimmlab.bsky.social · 26/03/2026
📚 March Publications Spotlight: Mar_2!!! AIMMLab is pleased to share a new publication titled “Machine learning framework for early detection of polio outbreaks from acute flaccid paralysis surveillance data” featuring our director, Prof. Jude Kong, and other collaborators.
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AIMMLab—Artificial Intelligence and Mathematical Modelling Lab @aimmlab.bsky.social · 26/03/2026
We are proud to share a new publication by Prof. Jude Kong and Dr. Nicola Luigi Bragazzi: “Mapping the Digital One Health/One Digital Health paradigm: A bibliometric and foresight-based analysis of emerging trends and future directions.”
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AIMMLab—Artificial Intelligence and Mathematical Modelling Lab @aimmlab.bsky.social · 26/03/2026
📚 March Publications Spotlight: Mar_4!!! AIMMLab is excited to share a new publication featuring our director, Prof. Jude Kong, Prof. Hao Wang, and Dr. Yang Xu titled: “Environmental semantic clustering-guided multimodal fusion for enhanced interpretability in methane concentration prediction”.
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AIMMLab—Artificial Intelligence and Mathematical Modelling Lab @aimmlab.bsky.social · 23/03/2026
This week at AIMMLab, we explored how AI can support equitable health communication. Gelan Ayana Zewdie, Ph.D. presented Measles Talk, a multilingual chatbot developed to expand access to reliable measles information and strengthen inclusive public health communication across diverse communities.
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AIMMLab—Artificial Intelligence and Mathematical Modelling Lab @aimmlab.bsky.social · 12/03/2026
Our Executive Director @dzevela.bsky.social will be giving a keynote tonight at the BrainSTEM Alliance and NSBE Professionals Innovators in STEAM Event at the University of Toronto! Title: “From Community Problems to Co-Created Solutions: The Black AI Innovation Approach.”
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AIMMLab—Artificial Intelligence and Mathematical Modelling Lab @aimmlab.bsky.social · 12/03/2026
New Publication Alert: In our recent publication, Prof. Jude Kong and Prof. Abbas Yazdinejad explore how AI and federated learning can enable secure collaboration across Canada’s health data systems while protecting privacy. Here is a link to the study: lnkd.in/eay2ifgw
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AIMMLab—Artificial Intelligence and Mathematical Modelling Lab @aimmlab.bsky.social · 08/03/2026
On March 7, 2026, our director Prof. Jude Kong, participated in the UofT AI Ethics Conference hosted by IlluminAI. The discussion explored how AI modelling can support decision-making in public health, climate systems, and society, and why interdisciplinary collaboration is key to responsible AI.
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AIMMLab—Artificial Intelligence and Mathematical Modelling Lab @aimmlab.bsky.social · 08/03/2026
This week at #AIMMLab 🧠🔬 Keishi Suzuki presented: Distribution-Aware Multi-Stage Transfer Learning for Mammography Using Biomedical Vision–Language Models. Exploring how foundation models + transfer learning can improve robustness of #medicalAI across imaging datasets. Trivia hosted by Jusleen! 🎉
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AIMMLab—Artificial Intelligence and Mathematical Modelling Lab @aimmlab.bsky.social · 28/02/2026
#AIMMLab Weekly Meeting Highlights | 2/27/2026 🔥 Dr. Yang Xu presented how atmospheric physics + causal AI can move methane research beyond detection to identifying which facilities are responsible in Alberta’s Oil Sands. Trivia led by Christina Lu. Nancy Chen took the win 🏆
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AIMMLab—Artificial Intelligence and Mathematical Modelling Lab @aimmlab.bsky.social · 27/02/2026
Our Executive Director, Prof. @dzevela.bsky.social , delivered a keynote at the University of Saskatchewan Black History Month Research Symposium 2026. From village pathways to AI-driven health systems innovation — and youth programs like Agentic AI & Ask a Black Mathematician.
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AIMMLab—Artificial Intelligence and Mathematical Modelling Lab @aimmlab.bsky.social · 24/02/2026
February Spotlight #5 🦠🧠 Our new paper benchmarks ChatGPT-4o, Grok, Gemini 1.5 Pro & DeepSeek R1 for avian flu risk communication + real-time decision support across stakeholder scenarios. Big promise—needs role-aware evaluation. www.sciencedirect.com/science/arti...
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AIMMLab—Artificial Intelligence and Mathematical Modelling Lab @aimmlab.bsky.social · 24/02/2026
📢 New publication! Our modeling study shows that pre-exposure vaccination in high-risk populations is key to preventing mpox resurgence in Canada. Without it, mpox could become endemic. Read more: link.springer.com/article/10.1...
link.springer.com
Pre-exposure vaccination in the high-risk population is crucial in controlling mpox resurgence in Canada - BMC Infectious Diseases
As mpox spread continues across several endemic and non-endemic countries around the world, vaccination has become an integral part of the global response to control the epidemic. Some vaccines have b...
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AIMMLab—Artificial Intelligence and Mathematical Modelling Lab @aimmlab.bsky.social · 24/02/2026
📘 New chapter: Bridging the AI Divide in Frontiers of Artificial Intelligence, Ethics and Multidisciplinary Applications. Advancing equitable access to compute & data. Grateful to @IDRC_CRDI for the support. 🔗 link.springer.com/chapter/10.1...
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