Course curriculum

  • 1

    Welcome

    • Welcome to #AI4Med Data and AI Summer School (Athar Osama)
  • 2

    AI4Med Final Projects

    • CG - Cancer Genomics Project

    • DR - Diabetic Retinopathy Project

    • PH - Public Health Project

    • EMR - EMR/EHR Project
  • 3

    Sprint Day #1: Data Analytics 101 (Dr. Hammad Naveed)

    • Module Outline: Data Analytics 101

    • References:

    • Video 1.1 - Introduction to Data Analytics (Kaggle, Python, Basic Statistics, etc.)

    • Video 1.2 - Introduction to Data Analytics 2 (Data Cleaning, Missing Values, etc.)

    • Video 1.3 - Introduction to Data Analytics 3 (SQL and Data Visualisation, etc.)

    • Session #1 Assessment - S1 (3-5mins)

    • Assignment #1: The COVID19 Database

    • Homework 1 (File) Submission

    • Tutorial T1: Homework Assignment 1 - Solved (TA: Haleema)
  • 4

    Sprint Day #2: Multiomics (Dr. Faisal Khan)

    • Module Outline: Multiomics

    • Video 2.1 - Introduction to Multiomics (Faisal Khan)

    • Video 2.2 - Working with Multiomics Data (TA Tutorial)

    • Session #2 Assessment - S2 (3-5mins)

    • Assignment #2: Differential Gene Expression Analysis

    • Homework 2 (File) Submission

    • Tutorial T2: Homework Assignment 2 - Solved (TA: Arsalan Riaz)
  • 5

    Sprint Day #3: Diabetic Retinopathy Screening using Image Processing (Dr. Majida Kazmi)

    • Module Outline: Diabetic Retinopathy Screening

    • Video 3.1 - Introduction to Diabetic Retinopathy (Dr Majida Kazmi)

    • Video 3.2 - Introduction to Computer Vision (Dr Majida Kazmi)

    • Video 3.3 - Image Data Analysis Tutorial (TA Bisma Imran)

    • Session #3 Assessment - S3 (3-5mins)

    • Assignment #3 - AI-Enabled Diabetic Retinopathy Screening

    • Homework 3 (File) Submission

    • Tutorial T3: Homework Assignment 3 - Solved (TA: Bisma Imran)
  • 6

    Sprint Day #4: Cancer Genomics (Dr. Arooj Shafiq)

    • Module Outline: Cancer Genomics

    • Video - 4.1 Cancer Genomics Theory (Arooj Shafiq)

    • Video - 4.2 Cancer Genomics Data Tutorial (Arooj Shafiq)

    • Session #4 Assessment - S4 (3-5mins)

    • Assignment #4 - Cancer Genomics (10 mins)

    • Homework 4 (File) Submission
  • 7

    Sprint Day #5: Cancer Pathology (Dr Ali Khurram)

    • Module Outline: Cancer Pathology

    • Video 5.1 - Introduction to Cancer Pathology (Ali Khurram)

    • Video 5.2 - AI in Cancer Pathology (Ali Khurram)

    • Session #5 Assessment - S5 (3-5mins)

    • Assignment #5 - (60-120 mins)

    • Homework 5 (File) Submission
  • 8

    Sprint Day #6: EMR/EHR Data (Rayid Ghani)

    • Video 6.1 - Introduction to EMR/EHR Data (Rayid Ghani)

    • Video 6.2 - Hands-on EMR/EHR Data (Rayid Ghani)

    • Session #6 Assessment - S6 (3-5mins)

    • Assignment #6 - (60-120 mins)

    • Homework 6 (File) Submission
  • 9

    Sprint Day #7: EMR/EHR Data 2 (Hammad Naveed)

    • Video 7.1 - Introduction to EMR/EHR Data 2 (Hammad Naveed)

    • Video 7.2 - Hands-on EMR/EHR Data 2 (TAs: Bilal & Haasha)

    • Session #7 Assessment - S7 (3-5mins)

    • Homework 7 (File) Submission
  • 10

    Sprint Day #8: Public Health Data (Adnan Khan)

    • Video 8.1 - Introduction to Public Health (Adnan Khan)

    • Video 8.2 - Public Health Data Tutorial (TAs)

    • Video 8.3 - Hands on Data with Stata (TAs)

    • Session #8 Assessment - S8 (3-5mins)

    • Assignment #8 - (60-120 mins)

    • Homework 8 (File) Submission
  • 11

    Sprint Day #9: Health Data and Generative AI (Xavor)

    • Module Outline: Health and Generative AI

    • Video 9.1 - Entire Generative AI Session (Xavor)

    • Session #9 Assessment - S9 (3-5mins)

    • Generative AI Notebook (Hands-on Session)

    • Health and Generative AI Use Cases
  • 12

    Sprint Day #10: Brain Radiomics (Ather Enam, Kiran Aftab et al)

    • Video 10.1 - Theory of Brain Radiomics

    • Video 10.2 - Theory of Brain Radiomics II

    • Video 10.3 - Brain Radiomics Data I

    • Video 10.4 - Brain Radiomics Data II

    • Session #10 Assessment - S10 (3-5mins)
  • 13

    Phase 2: #AI4Med Data & AI Deepdive

    • Selection of Thematic Area and Partner - (2-3 mins)

    • Partner Selection 2 - (2-3 mins)
  • 14

    AI4Med Data Deepdive: Week 1 (Sessions+Assignments)

    • PH - AI4Med Deepdive 1: Public Health (Adnan Khan)

    • CG - AI4Med Deepdive 1: Cancer Genomics (Arooj & Abdur Rahman)

    • MO - AI4Med Deepdive 1: Multiomics (Faisal Khan)

    • DR - AI4Med Deepdive 1: Diabetic Retinopathy (Majida Kazmi)

    • EMR - AI4Med Deepdive 1: EHR/EMR (Rayid Ghani & Hammad Naveed)

    • PATH - AI4Med Deepdive 1: Cancer Pathology (Hammad Naveed & Ali Khurram)

    • Assignment for Deep Dive Week 1

    • Homework DD WK1 (File) Submission
  • 15

    Week 1: Deepdive Sessions

    • PH - AI4MED Deepdive 1: Public HEALTH (Adnan Khan) Recorded session Q/A

    • DR1 - AI4Med Deepdive: Diabetic Retinopathy (Majida Kazmi)

    • PATH1 - AI4Med Deepdive: Cancer Pathology (Hammad Naveed & Ali Khurram)

    • PATH1TA1 - AI4Med Deepdive 1: Cancer Pathology (Hammad Naveed & Ali Khurram)

    • EMR1 - AI4Med Deepdive: EHR/EMR (Rayid Ghani & Hammad Naveed)

    • MO1TA1 - AI4Med Deepdive: Multiomics (Faisal Khan)

    • MO1TA2 - AI4Med Deepdive: Multiomics (Faisal Khan)

    • MO1TA3 - AI4Med Deepdive: Multiomics (Faisal Khan)

    • PH1TA1- AI4MED Deepdive 1: Public HEALTH (Adnan Khan)

    • PH1Q/A session - AI4MED Deepdive: Public HEALTH (Adnan Khan)

    • PH1TA2 - AI4MED Deepdive: Public HEALTH (Adnan Khan)

    • DR1TA2 pt1 - AI4Med Deepdive: Diabetic Retinopathy (Majida Kazmi)

    • DR1TA2 pt2 - AI4Med Deepdive: Diabetic Retinopathy (Majida Kazmi)

    • DR1Faculty Session - AI4Med Deepdive: Diabetic Retinopathy (Majida Kazmi)

  • 16

    Week 2: Deepdive (Sessions)

    • DR2TA1 - AI4Med Deepdive: Diabetic Retinopathy (Majida Kazmi)

    • EMR2 Assignment to solution 1 - AI4Med Deepdive: EHR/EMR (Rayid Ghani & Hammad Naveed)

    • EMR2 Assignment to solution 2 - AI4Med Deepdive: EHR/EMR (Rayid Ghani & Hammad Naveed)

    • EMR2 Assignment to solution 3 - AI4Med Deepdive: EHR/EMR (Rayid Ghani & Hammad Naveed)

    • CG2 TA 1 - AI4Med Deepdive: Cancer Genomics (Arooj & Abdur Rahman)

    • PATH2TA1 - AI4Med Deepdive 1: Cancer Pathology (Hammad Naveed & Ali Khurram)

    • PH2TA1 - AI4MED Deepdive: Public HEALTH (Adnan Khan)

    • MO2TA1 - AI4Med Deepdive: Multiomics (Faisal Khan)
  • 17

    Week 2: Deepdive (Assignments)

    • Assignment for Deep Dive Week 2

    • Homework DD WK2 (File) Submission

    • EMR2TA2 - AI4Med Deepdive: EHR/EMR (Rayid Ghani & Hammad Naveed)
  • 18

    Week 3: Deepdive (Sessions)

    • DR3 TA 1 - AI4Med Deepdive: Diabetic Retinopathy (Majida Kazmi)

    • PH3TA1 - AI4MED Deepdive: Public HEALTH (Adnan Khan)

    • DR3TA2 - AI4Med Deepdive: Diabetic Retinopathy (Majida Kazmi)

    • CG3 TA 1 - AI4Med Deepdive: Cancer Genomics (Arooj & Abdur Rahman)

    • DR3TA3 pt1 - AI4Med Deepdive: Diabetic Retinopathy (Majida Kazmi)

    • DR3TA3 pt2 - AI4Med Deepdive: Diabetic Retinopathy (Majida Kazmi)

    • CG Document 1

    • CG Document 2

    • CG Document 3
  • 19

    Week 3: Deepdive (Assignments)

    • Assignment for Deep Dive Week 3

    • Homework DD WK3 (File) Submission