Course Schedule

Certificate Course on Applications of Artificial Intelligence in Health Sciences

Date Day Time Slot (IST) Programme / Topic Resource Person
19th September 2026 Saturday 5 p.m. – 7 p.m.

Inauguration

Inaugural Lecture: Introduction to AI in Healthcare

Dr. Indranath Chatterjee
Manchester Metropolitan University, Manchester, UK
20th September 2026 Sunday 10 a.m. – 12 p.m.

Introduction to AI in Healthcare

Prof. Shandar Ahmad
(JNU)
26th September 2026 Saturday 5 p.m. – 7 p.m.

Introduction to Bioinformatics and Multiomics

  • Overview of genomics, transcriptomics (RNA-seq), proteomics, metabolomics
  • Differential gene expression (DEG) analysis: RNA-seq & microarray
  • Pathway and gene ontology (GO) analysis
Prof. Daman Saluja
(DU)
27th September 2026 Sunday 10 a.m. – 12 p.m.

Introduction to Bioinformatics and Multiomics

Lab Session
  • GEO data retrieval and alignment using GeoR
  • GO and KEGG pathway enrichment
Prof. Daman Saluja
(DU)
03rd October 2026 Saturday 5 p.m. – 7 p.m.

Introduction to Bioinformatics and Multiomics

  • Protein-protein interaction (PPI) networks
  • Hub gene identification
  • Multi-omics integration strategies
Dr. Ashwani Kumar Ray (DU)
04th October 2026 Sunday 10 a.m. – 12 p.m.

Introduction to Bioinformatics and Multiomics

Lab Session
  • Cytoscape for hub gene extraction (via STRING)
  • Volcano and heatmap plotting
Dr. Ashwani Kumar Ray (DU)
10th October 2026 Saturday 5 p.m. – 7 p.m.

Introduction to Bioinformatics and Multiomics

  • Survival analysis
  • Prognostic biomarker discovery
Lab Session
  • Kaplan-Meier plot generation for survival analysis
Prof. Daman Saluja (DU)
11th October 2026 Saturday 10 a.m. – 12 p.m.

Machine Learning Foundations in Medical Sciences

  • Feature engineering
  • Missing data imputation
  • Handling imbalanced datasets (SMOTE)
Prof. Yasha Hasija
(DTU)
17th October 2026 Saturday 5 p.m. – 7 p.m.

Neural Networks and Deep Neural Networks

Dr. Ankit Rajpal
(DU)
18th October 2026 Sunday 10 a.m. – 12 p.m.

Machine Learning Foundations in Medical Sciences

Evaluation Metrics:

  • ROC
  • AUC
  • PR Curve
  • Confusion Matrix
  • F1-Score
  • Calibration
Dr. Unmesh Shukla
(DU)
24th October 2026 Saturday 5 p.m. – 7 p.m.

Machine Learning Foundations in Medical Sciences

Evaluation Metrics:

  • ROC
  • AUC
  • PR Curve
  • Confusion Matrix
  • F1-Score
  • Calibration
Dr. Unmesh Shukla
(DU)
25th October 2026 Sunday 10 a.m. – 12 p.m.

Medical Imaging and Data Handling

Imaging modalities such as :

  • Ultra sound
  • X - Ray
  • Histopathology
  • Mammography

Image formats and standards:

  • DICOM
  • PNG
  • TIFF
Lab Session
  • Image loading
  • Metadata inspection (DICOM tags)
Dr. Bapu Koundinya Desiraju M.B.B.S., Ph.D.
(Principal Scientist-I,
BRIC - Translational Health Science and Technology Institute
NCR-Biotech Science Cluster, 3rd Milestone
Faridabad-Gurugram Expressway)
31st November 2026 Saturday 5 p.m. – 7 p.m.

Annotation tools

  • ITK-SNAP
  • LabelMe

PACS systems and metadata extraction

Lab Session
  • Manual annotation exercise
  • Image augmentation
  • Denoising
  • Resizing
  • Normalization
Dr. Bapu Koundinya Desiraju M.B.B.S., Ph.D.
(Principal Scientist-I,
BRIC - Translational Health Science and Technology Institute
NCR-Biotech Science Cluster, 3rd Milestone
Faridabad-Gurugram Expressway)
1st November 2026 Sunday 10 a.m. – 12 p.m.

Machine Learning Foundations in Medical Sciences

Evaluation Metrics:

  • ROC
  • AUC
  • PR Curve
  • Confusion Matrix
  • F1-Score
  • Calibration
Dr. Unmesh Shukla
(DU)
14th November 2026 Saturday 5 p.m. – 7 p.m.

Deep Learning and CNNs for Medical Image Analysis

  • 2D vs 3D CNNs for volumetric data (MRI / CT)
  • U-Net and variants for segmentation
Lab Session
  • Medical image segmentation using U-Net
Dr. Sangeeta Yadav
(DU)
15th November 2026 Sunday 10 a.m. – 12 p.m.

Deep Learning and CNNs for Medical Image Analysis

CNN building blocks:

  • Convolution
  • Pooling
  • Padding
  • Filters
Lab Session
  • Image classification using CNNs
Dr. Ankit Rajpal
(DU)
21st November 2026 Saturday 5 p.m. – 7 p.m.

Machine Learning Foundations in Medical Sciences

Lab Session
  • Classification of cancer subtypes using TCGA dataset
  • Model evaluation
Dr. Ankit Rajpal
(DU)
22nd November 2026 Sunday 10 a.m. – 12 p.m.

AI in Radiology (MRI/ CT)

  • Classification
  • Segmentation
  • Anomaly detection
Dr. Virendra Kumar
(Professor,
Department of NMR
All India Institute of Medical Sciences
New Delhi)


Dr Devasenathipathy K.
(Professor,
Department of Radiology,
All India Institute of Medical Sciences, New Delhi )
28th November 2026 Saturday 5 p.m. – 7 p.m.

AI in Pathology

  • Digital histopathology
  • Disease classification

Transfer learning:

  • ResNet
  • EfficientNet

Real-world use cases:

  • Diabetic retinopathy
  • Skin lesion classification
  • Tumor segmentation
Dr. Virendra Kumar
(Professor,
Department of NMR
All India Institute of Medical Sciences
New Delhi)


Dr. Varun Surya
(Assistant Professor,
Oral Pathology, Microbiology
, All India Institute of Medical Sciences, New Delhi )


Dr Amar Ranjan
(Assistant Professor,
Lab Oncology, Cancer Institute,
All India Institute of Medical Sciences, New Delhi )
Further schedule will be announced soon !