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VERSION:2.0
PRODID:-//Flavio Luiz Seixas//Academic Calendar//EN
X-WR-CALNAME:Introduction to Machine Learning for Healthcare 2026.2
BEGIN:VEVENT
UID:aprendizado-maquina-saude-2026.2-2026-08-07-436f757273652069@flavioluizseixas.github.io
DTSTAMP:20260824T013746Z
DTSTART;VALUE=DATE:20260807
SUMMARY:Course introduction — Introduction to Machine Learning for Healthcare
DESCRIPTION:TCC00367 · 2026.2 · Presentation of the syllabus\, methodology\, assessment\, and integrative project.
END:VEVENT
BEGIN:VEVENT
UID:aprendizado-maquina-saude-2026.2-2026-08-14-4861636b6174686f@flavioluizseixas.github.io
DTSTAMP:20260824T013746Z
DTSTART;VALUE=DATE:20260814
SUMMARY:Hackathon: problem definition and prototyping — Introduction to Machine Learning for Healthcare
DESCRIPTION:TCC00367 · 2026.2 · Team formation\, problem definition\, immersion\, ideation\, and prototyping.
END:VEVENT
BEGIN:VEVENT
UID:aprendizado-maquina-saude-2026.2-2026-08-21-4c65637475726520@flavioluizseixas.github.io
DTSTAMP:20260824T013746Z
DTSTART;VALUE=DATE:20260821
SUMMARY:Lecture 1: Introduction and evolution of AI in medicine — Introduction to Machine Learning for Healthcare
DESCRIPTION:TCC00367 · 2026.2 · Module 1 — Foundations and data ecosystem.
END:VEVENT
BEGIN:VEVENT
UID:aprendizado-maquina-saude-2026.2-2026-08-28-4c65637475726520@flavioluizseixas.github.io
DTSTAMP:20260824T013746Z
DTSTART;VALUE=DATE:20260828
SUMMARY:Lecture 2: Clinical data types and quality — Introduction to Machine Learning for Healthcare
DESCRIPTION:TCC00367 · 2026.2 · Module 1 — Foundations and data ecosystem.
END:VEVENT
BEGIN:VEVENT
UID:aprendizado-maquina-saude-2026.2-2026-09-04-4c65637475726520@flavioluizseixas.github.io
DTSTAMP:20260824T013746Z
DTSTART;VALUE=DATE:20260904
SUMMARY:Lecture 3: Interoperability and clinical standards — Introduction to Machine Learning for Healthcare
DESCRIPTION:TCC00367 · 2026.2 · Module 1 — Foundations and data ecosystem.
END:VEVENT
BEGIN:VEVENT
UID:aprendizado-maquina-saude-2026.2-2026-09-11-4c65637475726520@flavioluizseixas.github.io
DTSTAMP:20260824T013746Z
DTSTART;VALUE=DATE:20260911
SUMMARY:Lecture 4: Problem formulation and model life cycle — Introduction to Machine Learning for Healthcare
DESCRIPTION:TCC00367 · 2026.2 · Module 2 — Study design and classical machine learning.
END:VEVENT
BEGIN:VEVENT
UID:aprendizado-maquina-saude-2026.2-2026-09-18-4c65637475726520@flavioluizseixas.github.io
DTSTAMP:20260824T013746Z
DTSTART;VALUE=DATE:20260918
SUMMARY:Lecture 5: Performance evaluation and validation\; Lecture 6: Classical supervised and unsupervised learning — Introduction to Machine Learning for Healthcare
DESCRIPTION:TCC00367 · 2026.2 · Module 2 — Study design and classical machine learning.
END:VEVENT
BEGIN:VEVENT
UID:aprendizado-maquina-saude-2026.2-2026-09-25-5061706572207072@flavioluizseixas.github.io
DTSTAMP:20260824T013746Z
DTSTART;VALUE=DATE:20260925
SUMMARY:Paper presentation 1 — Introduction to Machine Learning for Healthcare
DESCRIPTION:TCC00367 · 2026.2 · Module 2 — Study design and classical machine learning.
END:VEVENT
BEGIN:VEVENT
UID:aprendizado-maquina-saude-2026.2-2026-10-02-4c65637475726520@flavioluizseixas.github.io
DTSTAMP:20260824T013746Z
DTSTART;VALUE=DATE:20261002
SUMMARY:Lecture 7: Deep learning 1 — medical computer vision — Introduction to Machine Learning for Healthcare
DESCRIPTION:TCC00367 · 2026.2 · Module 3 — Deep learning and NLP.
END:VEVENT
BEGIN:VEVENT
UID:aprendizado-maquina-saude-2026.2-2026-10-09-4c65637475726520@flavioluizseixas.github.io
DTSTAMP:20260824T013746Z
DTSTART;VALUE=DATE:20261009
SUMMARY:Lecture 8: Deep learning 2 — transformers and biomedical signals — Introduction to Machine Learning for Healthcare
DESCRIPTION:TCC00367 · 2026.2 · Module 3 — Deep learning and NLP.
END:VEVENT
BEGIN:VEVENT
UID:aprendizado-maquina-saude-2026.2-2026-10-16-4c65637475726520@flavioluizseixas.github.io
DTSTAMP:20260824T013746Z
DTSTART;VALUE=DATE:20261016
SUMMARY:Lecture 9: Biomedical natural language processing\; Lecture 10: Language models and multimodality — Introduction to Machine Learning for Healthcare
DESCRIPTION:TCC00367 · 2026.2 · Module 3 — Deep learning and NLP.
END:VEVENT
BEGIN:VEVENT
UID:aprendizado-maquina-saude-2026.2-2026-10-23-4c65637475726520@flavioluizseixas.github.io
DTSTAMP:20260824T013746Z
DTSTART;VALUE=DATE:20261023
SUMMARY:Lecture 11: Survival analysis and risk prediction\; Lecture 12: Causal inference and real-world evidence — Introduction to Machine Learning for Healthcare
DESCRIPTION:TCC00367 · 2026.2 · Module 4 — Survival\, causal inference\, and decision-making.
END:VEVENT
BEGIN:VEVENT
UID:aprendizado-maquina-saude-2026.2-2026-10-30-556e697665727369@flavioluizseixas.github.io
DTSTAMP:20260824T013746Z
DTSTART;VALUE=DATE:20261030
SUMMARY:University Outreach Week (SEMEXT) — Introduction to Machine Learning for Healthcare
DESCRIPTION:TCC00367 · 2026.2 · Module 4 — Survival\, causal inference\, and decision-making.
END:VEVENT
BEGIN:VEVENT
UID:aprendizado-maquina-saude-2026.2-2026-11-06-4c65637475726520@flavioluizseixas.github.io
DTSTAMP:20260824T013746Z
DTSTART;VALUE=DATE:20261106
SUMMARY:Lecture 13: Clinical decision support systems and implementation\; Lecture 14: Explainability\, equity\, and privacy\; Lecture 15: Regulation\, scientific reporting\, and MLOps — Introduction to Machine Learning for Healthcare
DESCRIPTION:TCC00367 · 2026.2 · Module 5 — Ethics\, regulation\, and professional practice.
END:VEVENT
BEGIN:VEVENT
UID:aprendizado-maquina-saude-2026.2-2026-11-13-5061706572207072@flavioluizseixas.github.io
DTSTAMP:20260824T013746Z
DTSTART;VALUE=DATE:20261113
SUMMARY:Paper presentation 2 — Introduction to Machine Learning for Healthcare
DESCRIPTION:TCC00367 · 2026.2 · Module 5 — Ethics\, regulation\, and professional practice.
END:VEVENT
BEGIN:VEVENT
UID:aprendizado-maquina-saude-2026.2-2026-11-20-5075626c69632068@flavioluizseixas.github.io
DTSTAMP:20260824T013746Z
DTSTART;VALUE=DATE:20261120
SUMMARY:Public holiday — Introduction to Machine Learning for Healthcare
DESCRIPTION:TCC00367 · 2026.2 · There will be no class.
END:VEVENT
BEGIN:VEVENT
UID:aprendizado-maquina-saude-2026.2-2026-11-27-4c65637475726520@flavioluizseixas.github.io
DTSTAMP:20260824T013746Z
DTSTART;VALUE=DATE:20261127
SUMMARY:Lecture 16: The future of AI-based medicine — Introduction to Machine Learning for Healthcare
DESCRIPTION:TCC00367 · 2026.2 · Module 5 — Ethics\, regulation\, and professional practice.
END:VEVENT
BEGIN:VEVENT
UID:aprendizado-maquina-saude-2026.2-2026-12-04-46696e616c207072@flavioluizseixas.github.io
DTSTAMP:20260824T013746Z
DTSTART;VALUE=DATE:20261204
SUMMARY:Final project presentation — Introduction to Machine Learning for Healthcare
DESCRIPTION:TCC00367 · 2026.2 · Presentation and discussion of the mini-projects developed by the teams.
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