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6 Reasons Why Professionals Prefer this Programme


  • IISc Advantage
    Get Certified by Center for Continuing Education at IISc, India’s #1 University and #1 Research Institute* and access the world-class institutional knowledge in Biomedical Science and Deep Tech Research

  • Expert Faculty
    Learn from top Biomedical faculty with combined expertise in Computational Data Science and Biological Sciences

  • Unique Design
    A unique executive programme designed to help professionals at the intersection of healthcare and technology

  • 1:1 Mentoring
    Personal mentoring by experts to help you in your learning journey

  • Peer Networking
    Join the elite community of top digital health professionals, practitioners and researchers

  • TalentSprint Advantage
    Build your expertise 24x7 with our best-in-class pracademic platform
*As per NIRF Ranking 2023

Hear from our program alumni

AI will create 7 lakh jobs for healthcare sector by 2030

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The AI Healthcare market is expected to exceed $34 Billion by 2025

Digital Health can reduce $45 Trillion in the treatment of non-communicable diseases


Career Outlook: Top Digital Health Jobs to Watch Out

  • Healthcare Data Analyst
  • Research Scientist, Health AI
  • Senior Medical Imaging Software Engineer
  • Research Scientist - Healthcare Image Analytics
  • Digital Health Consultant
  • Digital Health Developer
  • And more

Be at the epicenter of the future of health

Digital Health

About the Programme

The healthcare ecosystem is rapidly shifting towards innovative care delivery models such as virtual, remote, and alternate care. The deployment of AI, advanced data analytics, Internet of Things (IoT) as well as other emerging technologies and data-driven tools, are changing the nature of healthcare solutions and delivery systems.

Companies are innovating faster to adapt to new needs: patients are being treated remotely through mobile doctor apps, symptom-checking bots are triaging patients and providing tailored advice, and new remote consultation and tracking solutions are hitting the market fast.

Indian Institute of Science (IISc), Centre for Continuing Education (CCE), with its expertise in multi-disciplinary science is best positioned to offer a programme on Digital Health and Imaging. Delivered in association with TalentSprint, this executive friendly in-depth and comprehensive programme is best suited for professionals creating cutting edge technology solutions in eHealth, Personalized Healthcare, BioTech, Medical Devices, Wearables, Digital Therapeutics and more.


About Indian Institute of Science


IISc (Indian Institute of Science) is the oldest and the finest higher education institute of its kind in India. It pursues excellence in research and education in several fields of Science and Engineering and is one of the first three publicly funded institutes to be awarded the Institute of Eminence status. The alumni of IISc hold significant academic and industry positions around the globe. For more information visit https://www.iisc.ac.in

The Programme will be delivered by IISc’s Centre for Continuing Education (CCE). CCE delivers courses suitably designed to meet the requirements of target groups: Research & Development (R&D) Laboratories and Industries, Research Scientists/Engineers, to enable them to grow into competent managers of technology intensive and data-driven organizations. For more information visit http://cce.iisc.ac.in

Learn from Leaders

  • Programme Director
    Prof. Ambedkar Dukkipati
    Ph.D. Indian Institute of Science, India

    Professor at Department of Computer Science and Automation, an IIT Madras and IISc alumni. His research interests include statistical network analysis, network representation learning, spectral graph methods, machine learning in low data regime, sequential decision-making under uncertainty and deep reinforcement learning.

  • Programme Director
    Prof. Phaneendra Yalavarthy
    Programme Faculty
    Ph.D. Engineering Sciences, Dartmouth College, USA

    A Professor at the Department of Computational and Data Sciences, IISc. and a Faculty Associate for Interdisciplinary Mathematical Sciences and Convenor for Medical Imaging Group, CDS at IISc. Subject expert in Computational methods in Medical Imaging, Medical Image Processing, and Physiological Signal Processing.

  • Prof. Jaya Prakash
    Programme Faculty
    Ph.D. Medical Imaging, Indian Institute of Science, India

    Assistant Professor at the Department of Instrumentation and Applied Physics, IISc. His prior experience is with companies like Shell Technology Center, and iThera Medical-Munich. His key research areas include: Optical/Optoacoustic Imaging and Multi-Modal Imaging Systems.

  • Prof. Venkatesh Babu R
    Programme Faculty
    Ph.D. Electrical Engineering, Indian Institute of Science, India

    A Professor in Computational and Data Sciences, IISc. He has held postdoctoral positions at Universities across Europe and worked in industry before taking active interest in academics. His research interests include: Signal Processing, Compression, Machine Vision, Image/Video Processing, Pattern Recognition and Multimedia.

  • Prof. Yogesh Simmhan
    Programme Faculty
    Ph.D. Computer Science, Indiana University, USA

    An Associate Professor at the Department of Computational and Data Sciences, IISc. His research interests include: Temporal Graphs: Abstractions, Platforms and Algorithms, Edge Computing and Storage & Scalable Data Management and Analytics for Science and Engineering.

  • Prof. Chandra Sekhar Seelamanthula
    Programme Faculty
    Ph.D., Electrical Communication Engineering, IISc, India

    Associate Professor at the Department of Electrical Engineering, IISc. In addition, he is also an Associate Faculty at IISc’s Centre for Neuroscience. He is an active member of the Institute of Electrical and Electronics Engineers (IEEE) and has held several positions across its allied chapter associations. His research expertise lies in Speech/audio Processing, Image Processing, Biomedical Imaging, Sampling Theories, Optical Imaging, Sparse Signal Processing, and Image Processing for Healthcare Applications.

Curriculum

4 Months Executive Programme

Module 0 :Bridge Module (Optional)

  • Essential Math and Programming**
    **Strengthen your foundations in Math and Programming for your DeepTech learning journey.

Module 1: Digital Health: Introduction

  • Need, case studies, basics - mHealth and eHealth, Impact
  • Informatics: Health Level Seven (HL7), Integrating the Healthcare Enterprise (IHE), Vendor Neutral Archives (VNAs)
  • Open source/data/innovation - opportunities
  • IT infrastructure (IoT/Cloud computing)

Module-2: Wearable Devices and Physiological Signal Processing

  • Signal Processing: Sampling, Basic Filters, Decimation, Interpolation, STFT, Wavelets
  • Physiology: ECG Signal Acquisition (Electrical activity of heart, chest leads/montage, action potential in pacemaker and other regions; action potential relation to ECG Waveform; Reading ECG); EEG Signal Acquisition (Neural activity in the brain, Action potential, post-synaptic potential, Signal Propagation in the brain, EEG montage, EEG Signal Acquisition); EEG and ECG data processing
  • Wearable Sensors for health monitoring: Accelerometers (data acquisition and interpretation), glucose sensing (acquisition methods and comparison), Wearable ECG & EEG based on dry electrodes
  • Speech and audio signal processing: From signal capture to data pre-processing and feature modelling.


10 Months Executive Programme

Module 0 :Bridge Module

  • Essential Math and Programming**
    **Strengthen your foundations in Math and Programming for your DeepTech learning journey.

Module 1: Digital Health: Introduction

  • Need, case studies, basics - mHealth and eHealth, Impact
  • Informatics: Health Level Seven (HL7), Integrating the Healthcare Enterprise (IHE), Vendor Neutral Archives (VNAs)
  • Open source/data/innovation - opportunities
  • IT infrastructure (IoT/Cloud computing)

Module-2: Wearable Devices and Physiological Signal Processing

  • Signal Processing: Sampling, Basic Filters, Decimation, Interpolation, STFT, Wavelets
  • Physiology: ECG Signal Acquisition (Electrical activity of heart, chest leads/montage, action potential in pacemaker and other regions; action potential relation to ECG Waveform; Reading ECG); EEG Signal Acquisition (Neural activity in the brain, Action potential, post-synaptic potential, Signal Propagation in the brain, EEG montage, EEG Signal Acquisition); EEG and ECG data processing
  • Wearable Sensors for health monitoring: Accelerometers (data acquisition and interpretation), glucose sensing (acquisition methods and comparison), Wearable ECG & EEG based on dry electrodes
  • Speech and audio signal processing: From signal capture to data pre-processing and feature modelling.

Module-3: Machine Learning Basics for Real-world

  • Basic Mathematics for ML, What is Data and Model? Machine Learning Workflow and Applications
  • Introduction to real-world signals - text, speech, image, video; Feature extraction and front-end signal processing - information-rich representations, robustness to noise and artifacts
  • Learning as optimization, Linear Regression, Regularization and Logistic Regression
  • Basics of pattern recognition, Generative modelling - Gaussian and mixture Gaussian models
  • Machine Learning for physiological signal processing. Time series modelling

Module-4: Deep Learning in Digital Health

  • Deep Learning: Basics, MLPs, Back propagation, CNNs
  • Deep Learning for physiological signal processing. Recurrent neural models
  • Discussion on Depth Versus Width. Practical considerations in Deep Learning. Avoiding Overfitting- Regularization, Dropout. Convolutional Neural Networks. Recurrent Neural Networks. Forward and Backward propagation. Various Architectures for sequence to sequence and sequence to vector mapping.
  • Applications of Deep, Convolutional and Recurrent models in healthcare. (Instructor: SG)
  • Nature Language Processing: LSTMs, Language Models, Knowledge Graphs, Q&A (Demo)

Module-5: Deep Learning in Imaging/Vision

  • Medical Imaging Modalities: Introduction, Protocols, Work Flows, Applications
  • Medical Image Analysis: Basics, Imaging Physics-Based Methods, and Need for Deep Learning & Neuroimaging: Introduction, Challenges
  • Vision - Deep learning: Loss function, Optimization, CNNs, Training Convolutional Neural Networks, Object Detection, Segmentation
  • Deep Learning models: AlexNet, VGG, GoogleNet, ResNet, RNN/LSTM


Detailed Curriculum

Participant Profile

From Diverse Job Roles

Technical Specialist
Senior Principal Infrastructure Engineer
Quality Reviewer in Pharmacovigilance
Senior Data Scientist
Senior Medical Officer
Associate Professor
General Dentist
Plastic Surgeon

From Top Organizations

Wipro
Siemens
GE Healthcare
Samsung
Strides
Novartis
Iqvia
IBM
EY
The World Wide Pharma
TCS
Titan
VMware
Piramal Swasthya
Dr. Reddy's Laboratories
Boston Scientific
Fidelity Business Services
Siemens Helathineers
Sir H N Reliance Foundation Hospital
Manipal Hospitals
Capgemini
Allscripts Healthcare
Sony Software
IBM
IQVIA

From Indian and Global Locations

Bangalore
Delhi
Kolkata
Mumbai
Hyderabad
Chennai
Ahmedabad
Mysore
Patna
Abu Dhabi
Doha
Africa

Format

  • 10 Months Executive Programme
    Advanced Certificate in AI for Digital Health and Imaging
  • 4 Months Executive Programme
    Certification in Digital Health
  • Faculty-led Interactive Live Classes
  • One campus visit
  • Classes only on Sundays (10 AM to 1:30 PM & 2:30 PM to 4:30 PM)


What should you expect from this Programme?

  • LearnLearn from Leading IISc Faculty
  • ReinforceReinforce Learning by Applying Concepts
  • NetworkNetwork with Current and Future Digital Health Industry Practitioners
  • CertificateExecutive Programme Certificate by Center for Continuing Education at IISc
IISC Certificate

Eligibility

  • Minimum Qualification: Bachelors (four years or equivalent) or Masters in Science / Engineering / Medicine / Pharmacy / Management
  • Work Experience: Relevant experience of 1 year
  • Coding: Coding experience required.

Enrolment Process

  • Apply for
    Programme

  • Submit
    Details

  • Await
    Selection

  • Join
    Programme

Selection for the Programme will be done by IISc and is strictly based on education, work experience and motivation of the participants.

Fee

Advanced Certificate in AI for Digital Health and Imaging

  • 10 Months
    Programme fee - ₹2,50,000 + GST
    With Scholarships - ₹1,87,500 + GST
  • Flexible EMI Options starting
    at ₹20,978 / Month

Certification in Digital Health

  • 4 Months
    Programme fee - ₹1,25,000 + GST
    With Scholarships - ₹1,00,000 + GST
  • Flexible EMI Options starting
    at ₹ 18,356 / Month

Fee paid is non-refundable and non-transferable.
Campus visit fee will be based on actuals

About TalentSprint

Programme Media Coverage

The Hindu
The Hindu
The Economic Times
The Economic Times
The Indian Express
The Indian Express
The Hindu Business Line
The Hindu Business Line

Frequently Asked Questions

Why Digital Health and Imaging?

Digitization is impacting the medical industry like never before. AI and Machine Learning are taking this field to a new level.

Medical professionals and caregivers are being encouraged to utilize datasets to extract clinically relevant information for patient diagnosis, drug development, precision treatment and more. Accordingly Data Science has created profound uses in Healthcare, which early adopters can capitalize in the future.

Why IISc and TalentSprint?

IISc is India’s premier institution for advanced scientific and technological research and education. It is one of the first three publicly funded institutes to be awarded the Institute of Eminence status.

The institution’s reputation and pre-eminence consistently feature it in global university rankings. The institution has been home to distinguished alumni who have had noteworthy academic and industry positions around the globe.

IISc has been consistently recognised as India’s #1 University and #1 Research Institute by the National Institutional Ranking Framework (NIRF) 2023 Ranking. For More information, visit: https://www.nirfindia.org/2023/Ranking.html

TalentSprint, an National Stock Exchange (NSE) Group Company, brings high-end and deep-tech education to aspiring and experienced professionals in partnership with top academic institutions and global corporations. Its patent-pending, AI-powered, digital learning platform enables a perfect blend of high-end academics and industry-leading practitioner experience. Given its in-depth understanding of the deep technologies, access to industry experts, and a state of art technology platform, IISc has chosen TalentSprint as its partner for executive education programmes in disruptive and emerging technologies. For more information, visit www.talentsprint.com.

How is this programme useful for professionals in healthcare, pharmaceutical, biotech and other related areas?

For medical professionals, the programme enables

  • Enhance your commitment to patient care with precision medicine, personalized treatment and informed care to significantly reduce the death rate and predictable medical outcomes.
  • To collect, structure and process a high volume of data and further make sense of it in gaining a deeper understanding of the human body.
  • Improve diagnostic accuracy and efficiency.

Biotech professionals,

  • Reduce human suffering and disease by sifting through large, complex data sets and understanding the interconnectivity of genetic codes and diseases.
  • Can help generate a unique health and wellness profile based on both genomic and lifestyle data. For instance, if this is tied to a health and wellness app - the user can be alerted on foods or activities that increase their risk of a particular disease, thereby taking precautions at an early stage of detection.
  • Can help create new combinations of pharmaceutical compounds, perform predictive diagnosis, or even create genetically modified seeds.

Pharma professionals

  • Cure diseases by accelerating drug discovery and development process.
  • Optimize and improve the efficacy of clinical trials.
  • Helps spot trends and patterns in data (diseases, how patients respond to treatment of the same) and allows in formulating more targeted medications for patients that share common features

Other benefits

  • Build Electronic Health Records (EHRs) where patients have their own digital records that include demographics, medical history, allergies, laboratory test results etc.
  • Enhance patient engagement: Build smart devices that record every step patient takes, their heart rates, sleeping habits, etc., on a permanent basis. All this vital information can be coupled with other trackable data to identify potential health risks lurking.

What are the top use cases of how Deep Learning/Data Science is useful in the healthcare industry?

Digital Health and Imaging solutions are the biggest beneficiaries of Data Science, AI and Machine Learning. From saving lives to cutting down costs, data science has a huge role to play in the healthcare system. Take a look at some of the important use cases in healthcare.

  1. Improve Diagnostic Accuracy:
    According to the recent research by the National Academies of Sciences, Engineering, and Medicine, about 5 percent of adult patients are misdiagnosed each year in the US continent that causes approximately 10 percent of patient deaths. Targeting this problem, a deep learning startup, Enlitic, built a deep learning algorithm that reads imaging data (such as x-rays, CT scans, etc.), and analyzes it, checks the given results against an extensive database of clinical reports and laboratory studies. This way the company could deliver up to 70 percent more accurate results, 50,000 times faster.
  2. Advanced pharmaceutical research to find cure for cancer
    Being one of the most common and most deadly diseases, cancer has been a regular subject of scientific research. A Boston healthcare startup, BERG Health, reshapes the cancer medication market through extensive use of data science. Using powerful machine learning algorithms the company extracts and analyzes biological samples from over 1,000 patients in one go. The company has developed BPM 31510, the drug, that detects and triggers the natural death of cells damaged by the disease. Thus, the cancer cells can be removed from the human body naturally, without extensive medication and further damage to the patient’s health. While the drug is still being carefully tested, it gives us a clear understanding of the transformation potential that Data Science and deep technologies can provide to the pharmaceutical industry.
  3. Taking the risk out of prescription medicine
    MedAware, aims to eliminate prescription errors. The company claims that it has tools to help hospitals save up to $5.6 million, not to mention the reduced risk of lethal outcomes. A self-learning software system, provided by MedAware, checks all prescriptions against similar cases in the database and informs the doctor when the prescription contains any deviations from the typical treatment plan.
  4. Disease Prevention
    Omada Health is a digital therapeutics company that uses smart devices to create personalized behavior plans and online coaching to help prevent chronic health conditions, such as diabetes, hypertension, and high cholesterol.

And there are many such organizations who have opened up new opportunities using Data Science and Deep Learning for better healthcare.

What are the career opportunities for participants in the digital health?

Healthcare organizations are looking for professionals with Data Science and Deep Learning capabilities. With Data science and AI capabilities one could look into new career opportunities such as:

  1. Healthcare Data Analyst
  2. Advanced Analytics and Insights Strategist
  3. Research Scientist, Health AI
  4. Health Program Analyst
  5. Associate Scientist, Drug Product Development
  6. Senior Medical Imaging Software Engineer

Apart from new opportunities, this programme will help you take data driven decisions in current healthcare roles.

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