What is Computational Medicine ? An Introduction to lifechanging concept in HealthCare & Technology

Dr. Om J Lakhani talks about Introduction to the fundamentals of computational medicine. This talk with blow your mind. Literally.
Links for the Apps and Innovations shown in the video:
1. WebApp to decide When to use Semaglutide for weight loss ? semabmi.tiiny.site/
2. Adult vaccination for Indians using Artificial intelligence: adultvaccineindia.tiiny.site/
3. Diabetology.co.in : diabetology5.streamlit.app/
4. Online consultation with Dr. Om J Lakhani: cows-speak-uiv.craft.me/fTC4f...
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6. Twitter: / omlakhani
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Content:
00:17 🔬 Introduction to Computational Medicine
Computational medicine explained as a blend of technology and healthcare.
Evolution of medicine from magic to philosophy, art, science, and data science.
Future of medicine seen through the lens of mathematics and data analysis.
05:37 💻 Core Principles of Computational Medicine
Breaking medical processes into algorithms and code for decision-making.
Emphasizing granular details and basic building blocks in medical analysis.
Highlighting the importance of measurement for effective management in healthcare.
12:03 🧮 Practical Application: Building Medical Decision Support Tools
Demonstrating the creation of a BMI calculator app using basic coding and AI assistance.
Extending the functionality to include clinical parameters and decision-making logic.
Showcasing a custom-built AI tool for answering medical queries based on guidelines.
18:35 💡 Fundamentals of Computational Medicine
Computational medicine enables faster, better, and more precise clinical decisions through simple algorithms.
Computers and nature both break down complex systems into granular details, emphasizing the importance of understanding fundamentals.
21:06 🎵 AI in Music Generation
AI tools like Sunno demonstrate the ability to generate music effortlessly with minimal input.
AI simplifies music creation by breaking it down into granular notations, making music composition accessible to everyone.
23:25 💊 Computational Medicine in Drug Development
Computational approaches like ChatGPT and DrugsGPT hold promise in discovering new drugs and developing precise medications.
These tools leverage AI to analyze vast datasets and design tailored treatments for specific conditions, revolutionizing drug development.
24:42 📊 Measurement in Disease Management
Effective management of chronic disorders like diabetes and osteoporosis relies on precise measurement of outcomes.
Measuring outcomes allows for better management of diseases, even those difficult to monitor like osteoporosis, leading to improved patient care.
27:57 💡 Framework for Clinical Decision Making
Clinical decision-making benefits from algorithmic thinking and step-by-step algorithms, simplifying complex processes.
Being able to measure outcomes empowers practitioners to make informed decisions and provide better care to patients.
28:12 🔬 Importance of Precision Medicine
Precision medicine, focusing on tailored treatments for individuals, represents the future of healthcare.
Advancements in precision medicine, exemplified by projects like Diabetology do.in, offer personalized and consistent treatment strategies for patients.
32:24 🌐 Embracing Technological Change
Embracing technological advancements and algorithmic thinking is crucial for staying relevant in evolving medical landscapes.
Remaining curious, adaptable, and open to change ensures professionals stay ahead in a rapidly evolving field like computational medicine.

[@amaranathl9864]

YOU ARE A GOOD TEACHER .THANKS

[@EndocrinologyIndia]

Thank you so much

[@BhartiHospitalKarnal]

A logical approach to medicine

[@EndocrinologyIndia]

Thank you sir

[@drnishantraizada]

excellent talk

[@EndocrinologyIndia]

Thank you

[@user-kg4xg7qn6l]

Great presentation, thought inspiring. I have recently started following you and with each passing day I am getting better as a clinician. Thank you.

[@EndocrinologyIndia]

Thank you 🙏

[@ranitabhattacharya441]

Sir is always great 🙏🏻

[@EndocrinologyIndia]

Thank you so much

[@biswalashis123]

Very interesting talk. Those doctors who have interest in technology, algorithm, AI will particularly find it interesting.

[@EndocrinologyIndia]

Thank you

[@tzenmatteo]

technochrinologist? nice one. What's your linkedin Lakhani?

[@EndocrinologyIndia]

🎯 Key Takeaways for quick navigation:
00:17 *🔬 Introduction to Computational Medicine*
- Computational medicine explained as a blend of technology and healthcare.
- Evolution of medicine from magic to philosophy, art, science, and data science.
- Future of medicine seen through the lens of mathematics and data analysis.
05:37 *💻 Core Principles of Computational Medicine*
- Breaking medical processes into algorithms and code for decision-making.
- Emphasizing granular details and basic building blocks in medical analysis.
- Highlighting the importance of measurement for effective management in healthcare.
12:03 *🧮 Practical Application: Building Medical Decision Support Tools*
- Demonstrating the creation of a BMI calculator app using basic coding and AI assistance.
- Extending the functionality to include clinical parameters and decision-making logic.
- Showcasing a custom-built AI tool for answering medical queries based on guidelines.
18:35 *💡 Fundamentals of Computational Medicine*
- Computational medicine enables faster, better, and more precise clinical decisions through simple algorithms.
- Computers and nature both break down complex systems into granular details, emphasizing the importance of understanding fundamentals.
21:06 *🎵 AI in Music Generation*
- AI tools like Sunno demonstrate the ability to generate music effortlessly with minimal input.
- AI simplifies music creation by breaking it down into granular notations, making music composition accessible to everyone.
23:25 *💊 Computational Medicine in Drug Development*
- Computational approaches like ChatGPT and DrugsGPT hold promise in discovering new drugs and developing precise medications.
- These tools leverage AI to analyze vast datasets and design tailored treatments for specific conditions, revolutionizing drug development.
24:42 *📊 Measurement in Disease Management*
- Effective management of chronic disorders like diabetes and osteoporosis relies on precise measurement of outcomes.
- Measuring outcomes allows for better management of diseases, even those difficult to monitor like osteoporosis, leading to improved patient care.
27:57 *💡 Framework for Clinical Decision Making*
- Clinical decision-making benefits from algorithmic thinking and step-by-step algorithms, simplifying complex processes.
- Being able to measure outcomes empowers practitioners to make informed decisions and provide better care to patients.
28:12 *🔬 Importance of Precision Medicine*
- Precision medicine, focusing on tailored treatments for individuals, represents the future of healthcare.
- Advancements in precision medicine, exemplified by projects like Diabetology do.in, offer personalized and consistent treatment strategies for patients.
32:24 *🌐 Embracing Technological Change*
- Embracing technological advancements and algorithmic thinking is crucial for staying relevant in evolving medical landscapes.
- Remaining curious, adaptable, and open to change ensures professionals stay ahead in a rapidly evolving field like computational medicine.
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