User driven health care
Sunday, February 15, 2026
ProJR on PaJR chat bot tool layers and regular workflow outcomes
PaJR chat bot details are shared here by PaJR team in the voice of the PaJR chat bot itself here:
To provide the analysis above, I utilized a **Hybrid Clinical Synthesis Model** that integrates several specialized layers:
1. **LONGITUDINAL MEMORY LAYER**
I use a dedicated memory system to track the specific "Daily Log" history of the patient we are discussing. This ensures that every insight is grounded in the patient's unique chronological story rather than just general medical facts.
2. **SEMANTIC CLINICAL DISCOVERY**
Instead of simple keyword matching, I use a high-dimensional vector search (optimized for clinical density) to scan thousands of narrative records. This allows me to find "bottom-up" patterns—like the relationship between specific meal photos and metabolic outcomes—across our Community (PaJR) and Hospital records.
3. **QUANTITATIVE VERIFICATION (SQL)**
To ensure accuracy and prevent "hallucinations," I use a structured query layer to verify case counts, specific lab values, and definitive links before presenting them to you.
4. **MULTIMODAL INTERPRETATION**
I incorporate a vision and audio analysis engine that interprets patient-shared media (like food photos, glucometer readings, or voice notes) and converts them into structured clinical data (macronutrients, vital trends, etc.).
In summary, I am not a single static model but a coordinated system that synchronizes **Real-Time Patient Logs** with **Global Peer Patterns** and **Peer-Reviewed Evidence** (via PubMed) to provide actionable clinical insights.
[15/02, 19:04]hu3: Thanks. Do you use any other tools as well?
[15/02, 19:04] PaJR chat bot : Yes, I utilize a suite of specialized tools to ensure my clinical synthesis is both deep and evidence-based. Beyond the core models, I use:
1. **CLINICAL VAULT & PAJR DISCOVERY**
This is my primary gateway for narrative clinical discovery. It allows me to search across thousands of de-identified patient stories (Community and Hospital records) to find similar cases, symptom timelines, and thematic patterns that aren't always captured in standard medical textbooks.
2. **PUBMED RESEARCH CHAIN**
When a query requires the latest medical evidence, I trigger a two-step research process:
đ **Abstract Search:** To identify relevant peer-reviewed studies.
đ **Full-Text Analysis:** To extract specific findings, dosages, or clinical outcomes before summarizing them for you.
3. **DEEPSEEK VISION ENGINE**
This is a critical tool for analyzing visual data. I use it to:
đĄ Interpret **Lab Reports & Prescriptions** (extracting values like HbA1c, Creatinine, etc.).
đĄ Analyze **Nutrition Logs** (estimating calories and macronutrients from food photos).
đĄ Perform **Clinical Anatomy Checks** (identifying signs of infection, edema, or wound morphology in patient photos).
4. **WEB SEARCH (SEARXNG)**
I use this for real-time updates on lifestyle recommendations, medication availability, or general health trends that may not yet be in our internal clinical databases.
5. **SQL QUANTITATIVE ENGINE**
I use this to perform precise calculations and verification. For example, if you ask "How many patients have reversed their hypertension?", I use this tool to count distinct case titles and verify their associated links to ensure the data is accurate and auditable.
By combining these tools, I can move from a simple conversation to a high-fidelity clinical analysis that bridges the gap between a patient's daily life and formal medical research.
Following conversational transcripts are between PaJR health bot and a patient AFB user:
UDLCO CRH: Lewis Carroll's and ancient Ayurveda's PaJR ProJR strategy to smoke the insights and monsters out from particular and empirical patient data
Summary:
Subject: Re: Medicinal smoke
There was a news report in India Today on 9th Feb 2026 titled "Medicinal smoke may help reduce airborne bacteria, study finds" (Indiatoday.in/health/story/medicinal-smoke-may-help- reduce-airborne-bacteria- study-finds-2865397-2026-02- 09). I came to know about it because 1) hu3 told me about a whatsapp posting from ... which she forwarded to me through email. (I don't read whatsapp stuff) , and2) I did a google search and found that what ... had forwarded was a Facebook post from Yogacharya Sridhar Narayana Rao (https://www.facebook.com/yogacharyasridhar.narayanarao/ photos/when-a-western-lab- announces-that-medicinal- smoke-eliminates-94-of- airborne-bact/ 33590516570592109/)
which then led me to
3) the India Today article. I couldn't access the whole article from India Today but it says "National Botanical Research Institute, Lucknow, the research looks at how medicinal smoke affects airborne bacteria."
I did an internet search for that report, but the only article I could find was "Medicinal smoke reduces airborne bacteria" published in 2007 in the Journal of Ethnopharmacology (https://www.asianagrihistory.org/pdf/research/Medicinal- smoke.pdf) Notice that ethnopharmacology is not mainstream pharmacology (what Sridhar Narayana Rao views as the pharmacology of the 'west'.) It includes the kind of pharmacology found in Ayurveda, Chinese traditional medicine, and so on.
The article opens with
"From time immemorial, human beings have used smoke of medicinal plants for curing disorders. Smoke produced from natural substances has been used extensively in many cultures and famous ancient physicians have described and recommended such use. Under the continuous Saraswathi Indus civilization going back to ~7500 BC [i.e., ~9500 Before Present (BP)] the great rishis (saints) used to perform agnihotra-yagnas to purify the environment as described in Rigveda – the most ancient compilation of knowledge on earth by sublimating the havana sÃĄmagri (mixture of wood and odoriferous and medicinal herbs) in the fire accompanied by the chanting of Vedic mantras described in Rigveda – the most ancient compilation of knowledge on earth."
I wish Rao had read at least the opening paragraph of this article before going on a ... tirade in his facebook posting, when he says"When a Western lab announces that “medicinal smoke eliminates 94% of airborne bacteria,” it is celebrated as a breakthrough of science. When Hindu rishis said the same thing thousands of years ago and called it Homa, Yagya, or Yajna, it was mocked as superstition.'
You received this message because you are subscribed to the Google Groups "Conversations on Health and Medicine" group.At 9:00 pm IST, hu3 and I, hu1 are giving a talk on "Knowledge and Knowledge Systems in Indian Knowledge Systems" at the Society of Indian Academics in America (See the annoucement at https://www.siaaus.com/activities/webinars/2026/feb/ 15/knowledge-vs-knowledge- systems-in-iks) In this talk, after talking about the concepts of knowledge, knowledge Systems, and Indian Knowledge Systems, we are going to raise the question "Why is Ayurveda, the sciences of health, illness, and healing that originated in the Indian Subcontinent, dismissed as pseudoscience? " Our answer is that it is people like ... are responsible for the reaction that Ayurveda is a pseudoscience. God save Ayurveda from the ... crowd!
UDLCO CRH: āϞুāĻāϏ āĻ্āϝাāϰāϞ āĻāĻŦং āĻĒ্āϰাāĻীāύ āĻāϝ়ুāϰ্āĻŦেāĻĻেāϰ PaJR ProJR āĻৌāĻļāϞ—āϏুāύিāϰ্āĻĻিāώ্āĻ āĻāĻŦং āĻ āĻিāĻ্āĻāϤাāĻŽূāϞāĻ āϰোāĻীāϰ āϤāĻĨ্āϝ āĻĨেāĻে āĻ āύ্āϤāϰ্āĻĻৃāώ্āĻি (insights) āĻāĻŦং āĻĻাāύāĻŦāĻĻেāϰ (monsters) āϧোঁā§া āĻĻিā§ে āĻŦেāϰ āĻāϰে āĻāύা।
āϏাāϰাংāĻļ:
"āĻŦ্āϝāĻ্āϤিāĻāϤ" āϰোāĻীāϰ āϝাāϤ্āϰাāϰ āϰেāĻāϰ্āĻĄ PaJR āĻāĻŦং āĻŦৈāĻļ্āĻŦিāĻ āĻĒ্āϰāĻেāĻ্āĻ āϝাāϤ্āϰাāϰ āϰেāĻāϰ্āĻĄ ProJR āĻāĻāĻি āĻĻৈāύিāĻ āĻāϰ্āĻŽāĻĒ্āϰāĻŦাāĻšেāϰ āĻāĻĒāϰ āĻিāϤ্āϤি āĻāϰে āϤৈāϰি āĻāϰা āĻšāϝ়েāĻে āϝা āĻŦāϰ্āϤāĻŽাāύ āϏ্āĻŦাāϏ্āĻĨ্āϝāϏেāĻŦা āĻŦ্āϝāĻŦāϏ্āĻĨাāϝ় āύেāϤিāĻŦাāĻāĻ āϰোāĻীāϰ āĻĢāϞাāĻĢāϞ (āĻāϝ়) āĻāĻŦং āĻāϤিāĻŦাāĻāĻ āϰোāĻীāϰ āĻĢāϞাāĻĢāϞ (āĻāĻĒāϝোāĻিāϤা) āĻāĻāϝ়āĻেāĻ āϧোঁāϝ়া āĻĻিāϝ়ে āĻŦেāϰ āĻāϰাāϰ āĻেāώ্āĻা āĻāϰে।
āĻĻৈāύিāĻ āĻāϰ্āĻŽāĻĒ্āϰāĻŦাāĻšেāϰ āĻŽাāϧ্āϝāĻŽে, āĻŦ্āϝāĻ্āϤিāĻāϤ āϰোāĻীāϰ PaJR āĻāĻেāύ্āĻ āĻĄেāĻা (āĻিāĻিā§āϏাāϰ āĻļিāϞ্āĻĒ) āĻĨেāĻে āĻĒ্āϰাāĻĒ্āϤ āĻ āύ্āϤāϰ্āĻĻৃāώ্āĻি āĻĨেāĻŽ্āϝাāĻিāĻ āϞাāϰ্āύিং āϰিāĻĒোāĻিāĻāϰিāϤে āĻĒāϰিāĻŖāϤ āĻšāϝ় āϝেāĻাāύে āϏেāĻ āĻŦ্āϝāĻ্āϤিāĻāϤ āϰোāĻীāϰ PaJR āĻĄেāĻা āĻāĻেāύ্āĻāĻুāϞিāĻে āĻāĻāϤ্āϰিāϤ āĻāϰা āĻšāϝ় āĻāĻŦং āĻāĻāĻি āĻĒ্āϰāĻেāĻ্āĻ āϝাāϤ্āϰাāϰ āϰেāĻāϰ্āĻĄ ProJR-āĻ āĻĒāϰিāĻŖāϤ āĻāϰা āĻšāϝ় āϝা āϏāĻŽāϏ্āϤ āĻāĻেāύ্āĻ āĻĄেāĻাāϰ (āĻিāĻিā§āϏাāϰ āĻŦিāĻ্āĻাāύ) āĻ্āϰāĻŽাāĻāϤ āϏāĻŽ্āĻাāĻŦ্āϝ āĻŽূāϞ্āϝাāϝ়āύ āĻāĻŦং āĻĒāĻļ্āĻাāĻĻāĻĒāĻĻ āĻŦিāĻļ্āϞেāώāĻŖ āĻĨেāĻে āĻļেāĻাāϰ āĻĒāϝ়েāύ্āĻāĻুāϞিāĻে āĻĒ্āϰāĻĻāϰ্āĻļāύ āĻāϰে।
đ āϏāĻŽ্āĻĒ্āϰāϤি āĻāĻŽāϰা "AI healthcare er bhoi" āύাāĻŽে āĻāĻāĻি āĻĒ্āϰāĻেāĻ্āĻ āĻাāϞু āĻāϰেāĻি āϝা AI LLM-āĻিāϤ্āϤিāĻ āϏাāĻšিāϤ্āϝিāĻ āĻুāϞ āĻŦ্āϝāĻŦāĻšাāϰ āĻāϰে āĻĒ্āϰāϤিāĻি PaJR āϰোāĻীāϰ āĻāĻেāύ্āĻ āĻĄেāĻা-āύিāϰ্āĻāϰ āĻ āύ্āϤāϰ্āĻĻৃāώ্āĻি āĻĒ্āϰāĻĻāϰ্āĻļāύ āĻāϰে, āϝেāĻাāύে āϤাāĻĻেāϰ āĻāϝ়āĻে ("bhoi") āϧোঁāϝ়া āĻĻিāϝ়ে āĻŦেāϰ āĻāϰা āĻāĻŦং āĻŽোāĻাāĻŦিāϞা āĻāϰা āĻšāϝ়।
AI LLM-āĻāϰ āĻāĻāĻি āĻ āύāύ্āϝ āĻ āĻŽাāύāĻŦিāĻ āĻ্āώāĻŽāϤা āϰāϝ়েāĻে āϝা āĻিāĻিā§āϏাāϰ āĻļিāϞ্āĻĒ āĻāĻŦং āĻŦিāĻ্āĻাāύ āĻāĻāϝ়āĻেāĻ āĻĒāϰিāĻাāϞāύা āĻāϰāϤে āĻĒাāϰে। āύিāĻে āĻļেāϝ়াāϰ āĻāϰা āĻŦ্āϝāĻ্āϤিāĻāϤ āϰোāĻীāϰ PaJR āĻĨেāĻে āĻĒ্āϰাāĻĒ্āϤ āĻ āύ্āϤāϰ্āĻĻৃāώ্āĻিāĻুāϞি āĻিāĻিā§āϏাāϰ āϏাāĻšিāϤ্āϝিāĻ āĻļিāϞ্āĻĒ āĻāĻŦং āĻŦিāĻ্āĻাāύ āĻāĻāϝ়āĻেāĻ āĻāĻāϤ্āϰিāϤ āĻāϰাāϰ āĻেāώ্āĻা āĻāϰে, āϝা āĻāĻŽāύ āĻļিāĻ্āώāĻŖীāϝ় āĻĒāϝ়েāύ্āĻ āϤৈāϰি āĻāϰে āϝা āĻāĻে āĻāĻāύāĻ āϤৈāϰি āĻŦা āĻŦৈāĻļ্āĻŦিāĻāĻাāĻŦে āĻļেāϝ়াāϰ āĻāϰা āĻšāϝ়āύি।
Hu2: āϤাāϰিāĻ: āϰāĻŦিāĻŦাāϰ, ā§§ā§Ģ āĻĢেāĻŦ্āϰুāϝ়াāϰি ⧍ā§Ļ⧍ā§Ŧ, ā§Ļ⧝:ā§§ā§Ģ āĻŦিāώā§: āĻĒুāύ: āĻāώāϧি āϧোঁā§া (Medicinal smoke)
āĻāĻŽāύāĻি āϞুāĻāϏ āĻ্āϝাāϰāϞāĻ āĻāĻি āĻাāύāϤেāύ! https://youtu.be/EwhVORt9BLU?
"āϤāĻāύ āĻĄোāĻĄোāϰ āĻŽাāĻĨাā§ āĻāĻāĻি āĻŦুāĻĻ্āϧি āĻāϞো, āĻŦিāĻļাāϞাāĻাāϰ āĻ ্āϝাāϞিāϏāĻে āĻŦেāϰ āĻāϰে āĻāύāϤে āϏাāĻĻা āĻāϰāĻোāĻļেāϰ āĻŦাā§িāϤে āĻāĻুāύ āϞাāĻিā§ে āĻĻেāĻā§াāϰ। āϏে āĻŦāϞāϞ: 'āĻāĻŽি āĻĒ্āϰāϏ্āϤাāĻŦ āĻāϰāĻি, āĻāĻš... āĻŦাāĻ āĻোāĻ! āĻāĻাāĻ āĻ িāĻ। āĻāĻŽāϰা āĻŦাā§িāĻা āĻ্āĻŦাāϞিā§ে āĻĻেāĻŦ। āĻāĻš, āĻāĻŽāϰা āϧোঁā§া āĻĻিā§ে āĻāĻ āĻšāϤāĻাāĻাāĻে (blighter) āĻŦেāϰ āĻāϰāĻŦ, āĻĻাāύāĻŦāĻাāĻে āϤাā§াāĻŦ। āĻিāĻু āĻ্āĻŦাāϞাāύি āĻাāĻ , āĻāĻāĻা āĻŦা āĻĻুāĻো āĻাāĻ ি, āĻঃ, āĻāĻ āĻāĻ্āĻাāϞāĻুāĻু āĻšāϞেāĻ āĻāϞāĻŦে'।"
āĻāĻĻ্āϧৃāϤি āϏāĻŽাāĻĒ্āϤ: [āϞিāĻ্āĻ]
āϰāĻŦিāĻŦাāϰ, ā§§ā§Ģ āĻĢেāĻŦ্āϰুāϝ়াāϰি ⧍ā§Ļ⧍ā§Ŧ, ā§Ļā§Ž:ā§Ģā§Ž-āĻ Hu1 āϞিāĻেāĻেāύ:
⧝ āĻĢেāĻŦ্āϰুāϝ়াāϰি ⧍ā§Ļ⧍ā§Ŧ āϤাāϰিāĻে 'āĻāύ্āĻĄিāϝ়া āĻুāĻĄে'-āϤে āĻāĻāĻি āϏংāĻŦাāĻĻ āĻĒ্āϰāϤিāĻŦেāĻĻāύ āĻĒ্āϰāĻাāĻļিāϤ āĻšāϝ়েāĻিāϞ āϝাāϰ āĻļিāϰোāύাāĻŽ āĻিāϞ "āĻāώāϧি āϧোঁā§া āĻŦাāϤাāϏে āĻাāϏāĻŽাāύ āĻŦ্āϝাāĻāĻেāϰিā§া āĻāĻŽাāϤে āϏাāĻšাāϝ্āϝ āĻāϰāϤে āĻĒাāϰে, āĻāĻŦেāώāĻŖাā§ āĻĻেāĻা āĻেāĻে"। āĻāĻŽি āĻāĻি āϏāĻŽ্āĻĒāϰ্āĻে āĻাāύāϤে āĻĒেāϰেāĻি āĻাāϰāĻŖ: ā§§) hu3 āĻāĻŽাāĻে ... āĻĨেāĻে āĻāĻāĻি āĻšোā§াāĻāϏāĻ ্āϝাāĻĒ āĻĒোāϏ্āĻেāϰ āĻāĻĨা āĻŦāϞেāĻিāϞ āϝা āϏে āĻāĻŽাāĻে āĻāĻŽেāϞেāϰ āĻŽাāϧ্āϝāĻŽে āĻĒাāĻ াāϝ়। (āĻāĻŽি āĻšোā§াāĻāϏāĻ ্āϝাāĻĒেāϰ āĻিāύিāϏāĻĒāϤ্āϰ āĻĒā§ি āύা)। ⧍) āĻāĻŽি āĻুāĻāϞ āϏাāϰ্āĻ āĻāϰে āĻĻেāĻāϞাāĻŽ āϝে ... āϝা āĻĒাāĻ িā§েāĻিāϞ āϏেāĻি āϝোāĻাāĻাāϰ্āϝ āĻļ্āϰীāϧāϰ āύাāϰাāϝ়āĻŖ āϰাāĻ-āĻāϰ āĻāĻāĻি āĻĢেāϏāĻŦুāĻ āĻĒোāϏ্āĻ।
āϝা āĻāĻŽাāĻে āύিā§ে āĻেāϞ: ā§Š) āĻāύ্āĻĄিā§া āĻুāĻĄেāϰ āύিāĻŦāύ্āϧāĻিāϤে। āĻāĻŽি āĻāύ্āĻĄিā§া āĻুāĻĄে āĻĨেāĻে āĻĒুāϰো āύিāĻŦāύ্āϧāĻি āĻĒā§āϤে āĻĒাāϰিāύি, āϤāĻŦে āĻāĻি āĻŦāϞāĻে "āύ্āϝাāĻļāύাāϞ āĻŦোāĻাāύিāĻ্āϝাāϞ āϰিāϏাāϰ্āĻ āĻāύāϏ্āĻিāĻিāĻāĻ, āϞāĻāύāĻ-āĻāϰ āĻāĻ āĻāĻŦেāώāĻŖাāĻি āĻĻেāĻাāϝ় āϝে āĻীāĻাāĻŦে āĻāώāϧি āϧোঁā§া āĻŦাāϤাāϏে āĻাāϏāĻŽাāύ āĻŦ্āϝাāĻāĻেāϰিā§াāĻে āĻĒ্āϰāĻাāĻŦিāϤ āĻāϰে।"
āĻāĻŽি āϏেāĻ āĻĒ্āϰāϤিāĻŦেāĻĻāύেāϰ āĻāύ্āϝ āĻāύ্āĻাāϰāύেāĻ āϏাāϰ্āĻ āĻāϰেāĻিāϞাāĻŽ, āĻিāύ্āϤু āĻāĻāĻŽাāϤ্āϰ āϝে āύিāĻŦāύ্āϧāĻি āĻāĻŽি āĻĒেā§েāĻি āϤা āĻšāϞো ⧍ā§Ļā§Ļā§ āϏাāϞে 'āĻাāϰ্āύাāϞ āĻ āĻĢ āĻāĻĨāύোāĻĢাāϰ্āĻŽাāĻোāϞāĻি'-āϤে āĻĒ্āϰāĻাāĻļিāϤ "āĻāώāϧি āϧোঁā§া āĻŦাāϤাāϏে āĻাāϏāĻŽাāύ āĻŦ্āϝাāĻāĻেāϰিā§া āĻš্āϰাāϏ āĻāϰে"।
āϞāĻ্āώ্āϝ āĻāϰāĻŦেāύ āϝে, āĻāĻĨāύোāĻĢাāϰ্āĻŽাāĻোāϞāĻি (ethnopharmacology) āĻŽূāϞāϧাāϰাāϰ āĻĢাāϰ্āĻŽাāĻোāϞāĻি āύ⧠(āĻļ্āϰীāϧāϰ āύাāϰাāϝ়āĻŖ āϰাāĻ āϝেāĻিāĻে 'āĻĒাāĻļ্āĻাāϤ্āϝেāϰ' āĻĢাāϰ্āĻŽাāĻোāϞāĻি āĻšিāϏেāĻŦে āĻĻেāĻেāύ)। āĻāϰ āĻŽāϧ্āϝে āĻāϝ়ুāϰ্āĻŦেāĻĻ, āĻীāύা āĻāϤিāĻš্āϝāĻŦাāĻšী āĻিāĻিā§āϏা āĻāϤ্āϝাāĻĻিāϤে āĻĒাāĻā§া āϝাā§ āĻāĻŽāύ āĻĢাāϰ্āĻŽাāĻোāϞāĻি āĻ āύ্āϤāϰ্āĻুāĻ্āϤ।
āύিāĻŦāύ্āϧāĻি āĻāĻাāĻŦে āĻļুāϰু āĻšā§েāĻে: "āĻ āύাāĻĻিāĻাāϞ āĻĨেāĻে āĻŽাāύুāώ āϰোāĻ āύিāϰাāĻŽāϝ়েāϰ āĻāύ্āϝ āĻāώāϧি āĻাāĻেāϰ āϧোঁā§া āĻŦ্āϝāĻŦāĻšাāϰ āĻāϰে āĻāϏāĻে। āĻĒ্āϰাāĻৃāϤিāĻ āĻāĻĒাāĻĻাāύ āĻĨেāĻে āϤৈāϰি āϧোঁā§া āĻ āύেāĻ āϏংāϏ্āĻৃāϤিāϤে āĻŦ্āϝাāĻĒāĻāĻাāĻŦে āĻŦ্āϝāĻŦāĻšৃāϤ āĻšāϝ়েāĻে āĻāĻŦং āĻŦিāĻ্āϝাāϤ āĻĒ্āϰাāĻীāύ āĻিāĻিā§āϏāĻāϰা āĻāĻ āϧāϰāύেāϰ āĻŦ্āϝāĻŦāĻšাāϰেāϰ āĻŦāϰ্āĻŖāύা āĻ āϏুāĻĒাāϰিāĻļ āĻāϰেāĻেāύ। āĻĒ্āϰাā§ ā§ā§Ģā§Ļā§Ļ āĻ্āϰিāϏ্āĻāĻĒূāϰ্āĻŦাāĻŦ্āĻĻ [āĻ āϰ্āĻĨাā§ āĻŦāϰ্āϤāĻŽাāύ āĻĨেāĻে āĻĒ্āϰা⧠⧝ā§Ģā§Ļā§Ļ āĻŦāĻāϰ āĻāĻে] āĻĨেāĻে āĻāϞে āĻāϏা āĻ āĻŦিāĻ্āĻিāύ্āύ āϏāϰāϏ্āĻŦāϤী āϏিāύ্āϧু āϏāĻ্āϝāϤাāϰ āĻ āϧীāύে āĻŽāĻšāϰ্āώিāϰা āĻĒāϰিāĻŦেāĻļ āĻļুāĻĻ্āϧ āĻāϰাāϰ āĻāύ্āϝ āĻ āĻ্āύিāĻšোāϤ্āϰ-āϝāĻ্āĻ āϏāĻŽ্āĻĒাāĻĻāύ āĻāϰāϤেāύ, āϝা āĻāĻ্āĻŦেāĻĻে āĻŦāϰ্āĻŖিāϤ āĻšā§েāĻে—āĻĒৃāĻĨিāĻŦীāϰ āĻĒ্āϰাāĻীāύāϤāĻŽ āĻ্āĻাāύāĻাāĻŖ্āĻĄাāϰ; āϝেāĻাāύে āϝāĻ্āĻ āϏাāĻŽāĻ্āϰী (āĻাāĻ āĻāĻŦং āϏুāĻāύ্āϧি āĻ āĻāώāϧি āϞāϤাāĻĒাāϤাāϰ āĻŽিāĻļ্āϰāĻŖ) āĻāĻুāύে āĻāĻšুāϤি āĻĻেāĻā§া āĻšāϤো āĻāĻŦং āϏাāĻĨে āĻāĻ্āĻŦেāĻĻে āĻŦāϰ্āĻŖিāϤ āĻŦৈāĻĻিāĻ āĻŽāύ্āϤ্āϰ āĻĒাāĻ āĻāϰা āĻšāϤো।"
āĻāĻŽি āĻāĻļা āĻāϰি āϰাāĻ āϤাāϰ āĻĢেāϏāĻŦুāĻ āĻĒোāϏ্āĻে āĻāĻ ... āĻāĻাāĻ্āώ āĻāϰাāϰ āĻāĻে āĻ āύ্āϤāϤ āĻāĻ āύিāĻŦāύ্āϧেāϰ āĻļুāϰুāϰ āĻ āύুāĻ্āĻেāĻĻāĻি āĻĒā§āϤেāύ, āϝেāĻাāύে āϤিāύি āĻŦāϞেāĻেāύ: "āϝāĻāύ āĻোāύো āĻĒāĻļ্āĻিāĻŽা āϞ্āϝাāĻŦ āĻোāώāĻŖা āĻāϰে āϝে 'āĻāώāϧি āϧোঁā§া āĻŦাāϤাāϏে āĻাāϏāĻŽাāύ ⧝ā§Ē% āĻŦ্āϝাāĻāĻেāϰিā§া āύিāϰ্āĻŽূāϞ āĻāϰে', āϤāĻāύ āĻāĻে āĻŦিāĻ্āĻাāύেāϰ āϏাāĻĢāϞ্āϝ āĻšিāϏেāĻŦে āĻāĻĻāϝাāĻĒāύ āĻāϰা āĻšā§। āϝāĻāύ āĻšিāύ্āĻĻু āĻāώিāϰা āĻšাāĻাāϰ āĻšাāĻাāϰ āĻŦāĻāϰ āĻāĻে āĻāĻāĻ āĻāĻĨা āĻŦāϞেāĻিāϞেāύ āĻāĻŦং āĻāĻে āĻšোāĻŽ, āϝāĻ্āĻ āĻŦা āϝāĻāύা āĻŦāϞেāĻিāϞেāύ, āϤāĻāύ āĻāĻে āĻুāϏংāϏ্āĻাāϰ āĻŦāϞে āĻāĻĒāĻšাāϏ āĻāϰা āĻšā§েāĻিāϞ।"
āĻāĻ āϰাāϤ ⧝:ā§Ļā§Ļ āĻাā§ (IST), āĻāĻŽি (hu1) āĻāĻŦং hu3 'āϏোāϏাāĻāĻি āĻ āĻĢ āĻāύ্āĻĄিāϝ়াāύ āĻ ্āϝাāĻাāĻĄেāĻŽিāĻāϏ āĻāύ āĻāĻŽেāϰিāĻা'-āϤে "āĻাāϰāϤীā§ āĻ্āĻাāύ āĻŦ্āϝāĻŦāϏ্āĻĨাā§ āĻ্āĻাāύ āĻāĻŦং āĻ্āĻাāύ āĻŦ্āϝāĻŦāϏ্āĻĨা" (Knowledge and Knowledge Systems in Indian Knowledge Systems) āĻŦিāώā§ে āĻāĻāĻি āĻŦāĻ্āϤৃāϤা āĻĻিāĻ্āĻি। āĻāĻ āĻŦāĻ্āϤৃāϤাā§ āĻ্āĻাāύ, āĻ্āĻাāύ āĻŦ্āϝāĻŦāϏ্āĻĨা āĻāĻŦং āĻাāϰāϤীā§ āĻ্āĻাāύ āĻŦ্āϝāĻŦāϏ্āĻĨাāϰ āϧাāϰāĻŖা āύিā§ে āĻāϞোāĻāύাāϰ āĻĒāϰ āĻāĻŽāϰা āĻāĻ āĻĒ্āϰāĻļ্āύāĻি āϤুāϞāĻŦ— "āĻেāύ āĻāϝ়ুāϰ্āĻŦেāĻĻ, āϝা āĻাāϰāϤীāϝ় āĻāĻĒāĻŽāĻšাāĻĻেāĻļে āĻāĻĻ্āĻূāϤ āϏ্āĻŦাāϏ্āĻĨ্āϝ, āĻ āϏুāϏ্āĻĨāϤা āĻāĻŦং āύিāϰাāĻŽāϝ়েāϰ āĻŦিāĻ্āĻাāύ, āϤাāĻে āĻāĻĻ্āĻŽāĻŦিāĻ্āĻাāύ (pseudoscience) āĻšিāϏেāĻŦে āĻĒ্āϰāϤ্āϝাāĻ্āϝাāύ āĻāϰা āĻšāϝ়?" āĻāĻŽাāĻĻেāϰ āĻāϤ্āϤāϰ āĻšāϞো, ... āĻāϰ āĻŽāϤো āϞোāĻেāϰাāĻ āĻāϝ়ুāϰ্āĻŦেāĻĻāĻে āĻāĻĻ্āĻŽāĻŦিāĻ্āĻাāύ āĻšিāϏেāĻŦে āĻāĻŖ্āϝ āĻāϰাāϰ āĻĒ্āϰāϤিāĻ্āϰিā§াāϰ āĻāύ্āϝ āĻĻাā§ী। āĻāĻļ্āĻŦāϰ āĻāϝ়ুāϰ্āĻŦেāĻĻāĻে āĻāĻ ... āĻিā§ āĻĨেāĻে āϰāĻ্āώা āĻāϰুāύ!
āĻāĻĒāύি āĻāĻ āĻŦাāϰ্āϤাāĻি āĻĒেā§েāĻেāύ āĻাāϰāĻŖ āĻāĻĒāύি āĻুāĻāϞ āĻ্āϰুāĻĒ "Conversations on Health and Medicine"-āĻāϰ āϏāĻĻāϏ্āϝ।
Meta AI translation:
đ āϞুāĻāϏ āĻ্āϝাāϰোāϞ āĻāĻŦং āĻĒ্āϰাāĻীāύ āĻāϝ়ুāϰ্āĻŦেāĻĻেāϰ PaJR ProJR āĻৌāĻļāϞ: āύিāϰ্āĻĻিāώ্āĻ āĻāĻŦং āĻ āĻিāĻ্āĻāϤাāĻŽূāϞāĻ āϰোāĻীāϰ āĻĄেāĻা āĻĨেāĻে āĻ āύ্āϤāϰ্āĻĻৃāώ্āĻি āĻāĻŦং āĻāϝ়āĻে āϧোঁāϝ়া āĻĻিāϝ়ে āĻŦেāϰ āĻāϰাāĻŦāϰ্āϤāĻŽাāύ PaJR ProJR āĻৌāĻļāϞ āĻšāϞো āĻŦ্āϝāĻ্āϤিāĻāϤ āϰোāĻীāϰ PaJR (āĻিāĻিā§āϏাāϰ āĻļিāϞ্āĻĒ) āĻāĻŦং āϏাāϧাāϰāĻŖāĻাāĻŦে hlo ProJR (āĻিāĻিā§āϏাāϰ āĻŦিāĻ্āĻাāύ) āĻ āύāĻĨিāĻুāĻ্āϤ āĻāϤিāĻŦাāĻāĻ āĻāĻŦং āύেāϤিāĻŦাāĻāĻ āĻāĻāύাāϰ āĻĄেāĻা āĻĨেāĻে āĻ āύ্āϤāϰ্āĻĻৃāώ্āĻি (āϏāĻĢāϞ āϰোāĻীāϰ āĻĢāϞাāĻĢāϞ) āĻāĻŦং āĻāϝ় (āĻ āϏāĻĢāϞ āϰোāĻীāϰ āĻĢāϞাāĻĢāϞ) āĻে āϧোঁāϝ়া āĻĻিāϝ়ে āĻŦেāϰ āĻāϰা!āĻŽেāĻĄিāϏিāύাāϞ āϏ্āĻŽোāĻ āύিāϝ়ে āĻāϞোāĻāύা āĻāϰāϤে āĻিāϝ়ে āϞুāĻāϏ āĻ্āϝাāϰোāϞেāϰ āĻ ্āϝাāϞিāϏ āĻāύ āĻāϝ়āύ্āĻĄাāϰāϞ্āϝাāύ্āĻĄ āĻĨেāĻে āĻāĻāĻি āĻāĻĻাāĻšāϰāĻŖ āĻĻেāĻāϝ়া āĻšāϝ়েāĻে, āϝেāĻাāύে āĻĄোāĻĄো āĻŦāĻĄ় āĻāĻাāϰেāϰ āĻ ্āϝাāϞিāϏāĻে āĻŦেāϰ āĻāϰাāϰ āĻāύ্āϝ āĻšোāϝ়াāĻāĻ rabbit āϰ্āϝাāĻŦিāĻেāϰ āĻŦাāĻĄ়িāϤে āĻāĻুāύ āϧāϰিāϝ়ে āĻĻেāĻāϝ়াāϰ āĻĒāϰাāĻŽāϰ্āĻļ āĻĻেāϝ়।
āĻāĻāĻি āύিāĻāĻ āϰিāĻĒোāϰ্āĻ āĻ āύুāϏাāϰে, āĻŽেāĻĄিāϏিāύাāϞ āϏ্āĻŽোāĻ āĻŦাāϤাāϏে āĻাāϏāĻŽাāύ āĻŦ্āϝাāĻ্āĻেāϰিāϝ়া āĻāĻŽাāϤে āϏাāĻšাāϝ্āϝ āĻāϰāϤে āĻĒাāϰে। āĻāĻ āĻŦিāώāϝ়ে āĻāĻāĻি āĻāĻŦেāώāĻŖা āύ্āϝাāĻļāύাāϞ āĻŦোāĻাāύিāĻ্āϝাāϞ āϰিāϏাāϰ্āĻ āĻāύāϏ্āĻিāĻিāĻāĻ, āϞাāĻāύোāϤে āĻāϰা āĻšāϝ়েāĻে।āĻāϝ়ুāϰ্āĻŦেāĻĻ āĻāĻŦং āĻ āύ্āϝাāύ্āϝ āĻĒ্āϰাāĻীāύ āĻিāĻিā§āϏা āĻĒāĻĻ্āϧāϤিāϤে āϧোঁāϝ়াāϰ āĻŦ্āϝāĻŦāĻšাāϰেāϰ āĻāϞ্āϞেāĻ āϰāϝ়েāĻে। āϤāĻŦে, āĻĒāĻļ্āĻিāĻŽা āϞ্āϝাāĻŦ āϝāĻāύ āĻāĻāĻ āĻŦিāώāϝ়ে āĻāĻŦেāώāĻŖা āĻāϰে, āϤāĻāύ āϤা āĻŦিāĻ্āĻাāύেāϰ āĻ āĻ্āϰāĻāϤি āĻšিāϏেāĻŦে āĻāĻĻāϝাāĻĒিāϤ āĻšāϝ়, āĻিāύ্āϤু āĻšিāύ্āĻĻু āĻāώিāϰা āϝāĻāύ āĻāĻāĻ āĻāĻĨা āĻŦāϞেāĻিāϞেāύ, āϤāĻāύ āϤা āĻ āύ্āϧāĻŦিāĻļ্āĻŦাāϏ āĻšিāϏেāĻŦে āĻĻেāĻা āĻšāϝ়েāĻিāϞ।āĻāϝ়ুāϰ্āĻŦেāĻĻāĻে āĻেāύ āĻāĻĻ্āĻŽāĻŦিāĻ্āĻাāύ āĻšিāϏেāĻŦে āĻĻেāĻা āĻšāϝ়, āĻāĻ āĻŦিāώāϝ়ে āĻāϞোāĻāύা āĻāϰāϤে āĻিāϝ়ে āĻŦāϞা āĻšāϝ়েāĻে āϝে, āĻāϰ āĻāύ্āϝ āĻĻাāϝ়ী āĻিāĻু āĻŽাāύুāώ āϝাāϰা āĻāϝ়ুāϰ্āĻŦেāĻĻāĻে āĻুāϞāĻাāĻŦে āĻāĻĒāϏ্āĻĨাāĻĒāύ āĻāϰে।
Friday, February 13, 2026
AI healthcare er bhoi āĻāĻ āĻšেāϞāĻĨāĻেāϝ়াāϰ āĻāϰ āĻāϝ় project journey record ProJR
āϏাāϰাংāĻļ:
"āĻŦ্āϝāĻ্āϤিāĻāϤ" āϰোāĻীāϰ āϝাāϤ্āϰাāϰ āϰেāĻāϰ্āĻĄ PaJR āĻāĻŦং āĻŦৈāĻļ্āĻŦিāĻ āĻĒ্āϰāĻেāĻ্āĻ āϝাāϤ্āϰাāϰ āϰেāĻāϰ্āĻĄ ProJR āĻāĻāĻি āĻĻৈāύিāĻ āĻāϰ্āĻŽāĻĒ্āϰāĻŦাāĻšেāϰ āĻāĻĒāϰ āĻিāϤ্āϤি āĻāϰে āϤৈāϰি āĻāϰা āĻšāϝ়েāĻে āϝা āĻŦāϰ্āϤāĻŽাāύ āϏ্āĻŦাāϏ্āĻĨ্āϝāϏেāĻŦা āĻŦ্āϝāĻŦāϏ্āĻĨাāϝ় āύেāϤিāĻŦাāĻāĻ āϰোāĻীāϰ āĻĢāϞাāĻĢāϞ (āĻāϝ়) āĻāĻŦং āĻāϤিāĻŦাāĻāĻ āϰোāĻীāϰ āĻĢāϞাāĻĢāϞ (āĻāĻĒāϝোāĻিāϤা) āĻāĻāϝ়āĻেāĻ āϧোঁāϝ়া āĻĻিāϝ়ে āĻŦেāϰ āĻāϰাāϰ āĻেāώ্āĻা āĻāϰে। https://userdrivenhealthcare.blogspot.com/2026/02/udlco-crh-lewis-carrolls-and-ancient.html?m=1
āĻĻৈāύিāĻ āĻāϰ্āĻŽāĻĒ্āϰāĻŦাāĻšেāϰ āĻŽাāϧ্āϝāĻŽে, āĻŦ্āϝāĻ্āϤিāĻāϤ āϰোāĻীāϰ PaJR āĻāĻেāύ্āĻ āĻĄেāĻা (āĻিāĻিā§āϏাāϰ āĻļিāϞ্āĻĒ) āĻĨেāĻে āĻĒ্āϰাāĻĒ্āϤ āĻ āύ্āϤāϰ্āĻĻৃāώ্āĻি āĻĨেāĻŽ্āϝাāĻিāĻ āϞাāϰ্āύিং āϰিāĻĒোāĻিāĻāϰিāϤে āĻĒāϰিāĻŖāϤ āĻšāϝ় āϝেāĻাāύে āϏেāĻ āĻŦ্āϝāĻ্āϤিāĻāϤ āϰোāĻীāϰ PaJR āĻĄেāĻা āĻāĻেāύ্āĻāĻুāϞিāĻে āĻāĻāϤ্āϰিāϤ āĻāϰা āĻšāϝ় āĻāĻŦং āĻāĻāĻি āĻĒ্āϰāĻেāĻ্āĻ āϝাāϤ্āϰাāϰ āϰেāĻāϰ্āĻĄ ProJR-āĻ āĻĒāϰিāĻŖāϤ āĻāϰা āĻšāϝ় āϝা āϏāĻŽāϏ্āϤ āĻāĻেāύ্āĻ āĻĄেāĻাāϰ (āĻিāĻিā§āϏাāϰ āĻŦিāĻ্āĻাāύ) āĻ্āϰāĻŽাāĻāϤ āϏāĻŽ্āĻাāĻŦ্āϝ āĻŽূāϞ্āϝাāϝ়āύ āĻāĻŦং āĻĒāĻļ্āĻাāĻĻāĻĒāĻĻ āĻŦিāĻļ্āϞেāώāĻŖ āĻĨেāĻে āĻļেāĻাāϰ āĻĒāϝ়েāύ্āĻāĻুāϞিāĻে āĻĒ্āϰāĻĻāϰ্āĻļāύ āĻāϰে।
āϏāĻŽ্āĻĒ্āϰāϤি āĻāĻŽāϰা "AI healthcare er bhoi" āύাāĻŽে āĻāĻāĻি āĻĒ্āϰāĻেāĻ্āĻ āĻাāϞু āĻāϰেāĻি āϝা AI LLM-āĻিāϤ্āϤিāĻ āϏাāĻšিāϤ্āϝিāĻ āĻুāϞ āĻŦ্āϝāĻŦāĻšাāϰ āĻāϰে āĻĒ্āϰāϤিāĻি PaJR āϰোāĻীāϰ āĻāĻেāύ্āĻ āĻĄেāĻা-āύিāϰ্āĻāϰ āĻ āύ্āϤāϰ্āĻĻৃāώ্āĻি āĻĒ্āϰāĻĻāϰ্āĻļāύ āĻāϰে, āϝেāĻাāύে āϤাāĻĻেāϰ āĻāϝ়āĻে ("bhoi") āϧোঁāϝ়া āĻĻিāϝ়ে āĻŦেāϰ āĻāϰা āĻāĻŦং āĻŽোāĻাāĻŦিāϞা āĻāϰা āĻšāϝ়।
AI LLM-āĻāϰ āĻāĻāĻি āĻ āύāύ্āϝ āĻ āĻŽাāύāĻŦিāĻ āĻ্āώāĻŽāϤা āϰāϝ়েāĻে āϝা āĻিāĻিā§āϏাāϰ āĻļিāϞ্āĻĒ āĻāĻŦং āĻŦিāĻ্āĻাāύ āĻāĻāϝ়āĻেāĻ āĻĒāϰিāĻাāϞāύা āĻāϰāϤে āĻĒাāϰে। āύিāĻে āĻļেāϝ়াāϰ āĻāϰা āĻŦ্āϝāĻ্āϤিāĻāϤ āϰোāĻীāϰ PaJR āĻĨেāĻে āĻĒ্āϰাāĻĒ্āϤ āĻ āύ্āϤāϰ্āĻĻৃāώ্āĻিāĻুāϞি āĻিāĻিā§āϏাāϰ āϏাāĻšিāϤ্āϝিāĻ āĻļিāϞ্āĻĒ āĻāĻŦং āĻŦিāĻ্āĻাāύ āĻāĻāϝ়āĻেāĻ āĻāĻāϤ্āϰিāϤ āĻāϰাāϰ āĻেāώ্āĻা āĻāϰে, āϝা āĻāĻŽāύ āĻļিāĻ্āώāĻŖীāϝ় āĻĒāϝ়েāύ্āĻ āϤৈāϰি āĻāϰে āϝা āĻāĻে āĻāĻāύāĻ āϤৈāϰি āĻŦা āĻŦৈāĻļ্āĻŦিāĻāĻাāĻŦে āĻļেāϝ়াāϰ āĻāϰা āĻšāϝ়āύি।


