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Get ready for the explosive growth in Digital Health

Health technology sector is expected to reach USD $280 Billion by 2021.

By 2020 medical data will double every 73 days.

Telemedicine can save Indians $10 Billion by 2025.

Covid-19 Accelerates the Adoption of Telemedicine.

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 6-month 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

  • India’s #1 University by NIRF (2016-19)
  • 2 Bharat Ratna Awardees
    (1954, 2014)
  • Times Higher Education
    #1 University in India (2020)
  • RUR World
    #62 (2020)


Learn from Leaders

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

    An Associate 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. Ambedkar Dukkipati
    Programme Faculty
    Ph.D. Indian Institute of Science, India

    Associate Professor at Department of Computer Science and Automation, an IIT Madras and IISc alumni. His research publications include ‘Winning an Election: On Emergent Strategic Communication in Multi-Agent Networks’ (AAMAS: 2020), ‘Networked Multi-Agent Reinforcement Learning with Emergent Communication’ (AAMAS: 2020).

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

    An Associate 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. Sriram Ganapathy
    Programme Faculty
    Ph.D. Speech Signal Processing, Johns Hopkins University, USA

    Assistant Professor at the Department of Electrical Engineering, IISc. His research areas include: Signal Processing, Machine Learning, Deep Learning and Neuroscience with applications to Robust Speech Recognition, Speech Enhancement, Speech Coding and Audio Analytics including Biometrics.

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

    Assistant 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.


Curriculum

  • 6 Months
  • Interactive LIVE Weekend Classes
  • 2 Campus Visits
  • Digital Health:
    Introduction
  • Wearable Devices and
    Physiological Signal Processing
  • Basics of
    Machine Learning
  • Deep Learning in
    Digital Health
  • Deep Learning in
    Imaging/Vision

Hybrid Delivery

Bengaluru Campus IISc

Indian Institute of Science
CV Raman Road
Bangalore 560 012, India

View Map

Hyderabad Live Online Sessions

  • Interactive Sessions
  • Convenient Schedule
  • Direct to Device

Programme Schedule (July - December 2020)

  • Classes Start in July 2020
  • Campus Visits planned for September and December 2020
Final campus visit dates will be announced keeping in mind safety of participants

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 IISc
IISC Certificate

Who Should Join

For Digital Health Professionals working on eHealth, Telemedicine, Well-being, Personalized Healthcare, BioTech, Medical Devices, Wearables, Digital Therapeutics and more using cutting-edge technology like AI, Machine Learning, Analytics, and IoT.


Eligibility

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

Enrolment Process

  • Apply for
    Programme

  • Submit
    Documents

  • 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

Details Amount
Application Fee waived for the COVID-19 lockdown period ₹2,000
Corporate Scholarship on a first-come-first-come basis ₹60,000
Programme Fee ₹3,00,000 + GST
₹2,40,000 + GST
Campus Visits 1 & 2 Fee * On Actuals
24-month interest-free EMI
EMI Details
₹11,800/Month
Final campus visit dates will be announced keeping in mind safety of participants

About TalentSprint

TalentSprint brings high-end and deep-tech education to aspiring and experienced professionals. It partners with world-class academic institutions and global corporations to develop and offer disruptive programs. TalentSprint's hybrid platform delivers unique online and onsite experiences that help build cutting-edge expertise, for today and tomorrow. Funded by Nexus Venture Partners and the NSDC, it is the recipient of several national and international awards including Dream Company To Work For 2017, Best Innovative Technology Organisation In Education Sector Award 2016, World HRD Congress HR Tech Leader Award 2014, CIO Review Company of the Year Award 2014, Silicon India Industry Performer of the Year Award 2014 and others. For more information please visit www.talentsprint.com


Most Frequently Asked

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

AI, Machine Learning & Data science is moving digital health and imaging to a whole 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.

  • Data Science & Medical Imaging: Investigate microscopic deformities in the scanned images as opposed to simply visualizing inner parts of the body.
  • Data Science & Genomics: Analyze the connection between genetic sequences and health of the person, all in a much shorter period of time and at a much lower cost.
  • Data Science & Drug Discovery:
    • Analyse the probability of the development of disease in the human system.
    • Data science algorithms can simulate how the drugs will act in the human body that takes away the long laboratory experimentations.
    • Improve the collection of historical data to assist in the drug development process.

For professionals creating cutting edge technology solutions in eHealth, Telemedicine, Well-being, Personalized Healthcare, BioTech, Medical Devices, Wearables, Digital Therapeutics and more.

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.

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.

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.