Yes, I had moving-the-chair-in-physical-space class of capabilities in mind: robots guided by multimodal intelligence, cars 'surprising me' on a day I'm idle, etc. The challenge here may be in what can be achieved at the edge, the feedback control system for correction of successive prompts.
- there could be a community angle too; with someone in another part of the world suggesting possible remedies. This can take a reddit/quora-for-personal diseases form.
Want to build a platform to alleviate chronic suffering that can't be understood by one's local doctor.
Suggestions by this platform wouldn't interfere with treatment protocol straight away; it wouldn't ask the patient to stop medicines their doctor has prescribed, or itself prescribe scheduled drugs.
It will suggest complementary interventions. Case in point: anxiety, depression, brain degeneration & other related diseases - there's Rhonda Patrick's protocol of HIIT exercises to breach the blood-brain barrier & deliver positive effects; there's Dr Chris Palmer's method of looking at metabolism & mental health jointly & benefits of a keto diet to solve such issues.
Likewise, there can suggestions from Yoga-Pranayama where deep breathing can solve insomnia & hence other diseases downstream such as hypertension in many cases.
After being on such complementary protocols, the patient's suffering will be reduced, but also the body will heal enough to an extent that their local doctor could reduce/stop medication.
The tech is in the platform, combing through wisdom of all such complementary protocols for a start. If it gains traction, we could start involving experts have system route some queries specifically to them.
I have experience building the ML-LLM part. Anyone wants to join me and build the full stack part?
I didn't know about insurance paying for second opinion in Europe; that's interesting.
Liability - are doctors liable in Europe, except in extreme cases like anesthesia overdose or obvious negligence? Even if they were, I'm interested in cases where doctors are not being criminally negligent, but just ineffective due to not keeping themselves updated.
Do you have thoughts about where to collect the seed data, in the European system?
Remote: Yes, Perfectly fine to work with European & East Asian time zones.
Experience: Built entire imaging pipelines - starting with optics' design & ISP algorithms to image processing, & eventually tuning camera sight to computer vision. Deployed classical ML & statistical techniques, so I weigh that option before picking a Deep Learning approach. Have architected entire imaging pipelines , hired, led & mentored teams of research engineers. Previously run small startups .
Languages & tools: Python, TensorFlow-Keras, scikit-learn, C, MATLAB, Imatest
Interesting, but isn't treatment being personalized contingent on medicines being personalized too? They'd have to be formulated specifically to individuals to avoid unfavourable interactions and be most effective.
Yes, I had moving-the-chair-in-physical-space class of capabilities in mind: robots guided by multimodal intelligence, cars 'surprising me' on a day I'm idle, etc. The challenge here may be in what can be achieved at the edge, the feedback control system for correction of successive prompts.