Friday, March 13, 2026

UDLCO CRH: Integrative medicine strategies from palm leaf to pubmed, scientific research in medical antiquity?

Summary:

This transcript outlines an application and onboarding process for the "..." Forum, a student-led initiative focused on bridging ancient healing traditions with modern biomedical science. The forum’s representative (hu1) calls for expressions of interest to form a 10-member research cohort. An applicant, a medical student (hu2), submits a highly structured and heavily referenced personal statement advocating for patient-centered, case-based clinical approaches. Upon receiving a positive acknowledgment from hu1, the applicant elaborates on a specific, high-tech research hypothesis: utilizing deep phenotypic data, ambient AI, and extended reality (XR) to create a dynamic, patient-driven ecosystem for precision medicine.


Key Words

  • Integrative Medicine

  • Ancient Wisdom (Ayurveda, Rasayanas)

  • Evidence-Based Biomedicine

  • Patient-Centered Care

  • Case-Based Reasoning

  • Deep Phenotyping

  • Precision Medicine

  • Translational Research

  • Ambient AI

  • Illness Trajectories


Thematic Analysis

Bridging Antiquity and Modern Science

The foundational premise of the "..." Forum is the integration of traditional, ancient healing practices (such as Ayurveda, yoga, and Sattvik diets) with rigorous modern biomedicine (biomarkers, neuroplasticity, and AI). The organizers aim to translate "palm-leaf wisdom" into actionable, evidence-based research that can be published and validated by the broader medical community.

The Limits of Generalized Medicine

The applicant (hu2) explicitly notes that "current pubmed wisdom falls short of our patient requirements." This highlights a shared frustration with generalized clinical guidelines that may overlook individual complexities. The proposed solution is a shift toward a highly granular, patient-centric methodology that prioritizes individual clinical realities over broad statistical averages.

Case-Based Precision Medicine

A prominent theme driven by the applicant is the use of "case-based reasoning." By focusing on individual patient event data, biochemical markers, and detailed clinical narratives, the applicant envisions a localized, highly specific approach to understanding medical complexity. This involves building ecosystems where every patient's unique trajectory directly informs their treatment.

Advanced Technological Integration

The conversation transitions from theoretical patient care to cutting-edge technological applications. The applicant proposes leveraging "ambient AI" and "Orwellian devices" (like extended reality glasses) to capture real-time audiovisual data. The goal is to continuously decode patient environments and inputs, creating a dynamic, data-driven ontology that enables immediate, counterfactual predictions and precision medical solutions.

Collaborative Academic Culture

The interaction reflects a highly motivated, open-source, and interdisciplinary academic environment. Emphasizing intellectual contribution, primary investigator autonomy, and peer support, the forum operates as a non-profit commune designed to translate raw ideas into structured research projects and academic publications.



Conversational transcripts:

hu2 wrote:

Specific research ideas (hypothesis):

In deep phenotypic data driven precision medicine, one can gather individual patient events data (including a variety of integrative observations and interventions) and prepare their graphical trajectories to prepare a deeply granular "case based reasoning" ecosystem that can immediately process and deliver precision solutions as soon as new individual patient user data is provided as inputs to the ecosystem.

Previous work: 



Research questions: 

Can we create a translational research project to integrate all individual patient data driven illness trajectories to create a dynamic user driven ontology toward improved medical cognition and medical illness outcomes?

Can we utilise currently developing Orwellian devices using ambient AI supported decoding of audiovisual input from extended reality glasses
to facilitate the process of data capture and execute counterfactual prediction?



On Fri, 13 Mar 2026, 11:14 hu1> wrote:
Dear hu2,

Thank you for sharing your personal statement and the detailed background on your interest in bridging ancient wisdom with modern medical research.

We have received your application for the Scientific Research in Medical Antiquity initiative. Your focus on patient-centered integrative projects and your background as a medical student align well with our objective of connecting "palm-leaf wisdom" to evidence-based pathways like neuroplasticity and inflammation.

We are currently reviewing the expressions of interest to select the final 10 members for this month's active project. As noted in the screening process, we will reach out to you based on your personal statement to schedule a virtual meeting.

In the meantime, if you have any specific research ideas or groundbreaking questions you would like to explore within this niche, please feel free to share them.

Best regards,

Hu1


On Fri, 13 Mar, 2026, 10:41 hu2> wrote:
Personal statement:

The details that you would like us to know about you & Your interest :

About me: 

Short answer: I'm a medical student.


Why?

Short answer: Current pubmed wisdom falls short of our patient requirements and there's a definite need to bridge this gap.

Long answer: what caught my attention was the call for EOI (expression of interest) and I quote, "Think of it as a bridge between palm-leaf wisdom and PubMed: from rasayanas and ojas to neuroplasticity, inflammation, stem cells and more.  We’ll share papers, design small studies, brainstorm hypotheses and support each other’s projects and careers in this niche."



How:

Short answer (hiding a subtle question): We could do this one patient project at a time through an elective.

Long answer below divided into theory and practical

Theory : 

Patient centered integrative projects:



Practical: 


Patient centered biochemistry: 

Patient centered biochemistry: Bioclinical markers (Alkaline Phosphatase): http://www.pitt.edu/~super1/lecture/lec54121/001.htm

Patient centered biochemistry: Statins: http://www.pitt.edu/~super1/lecture/lec54131/001.htm

Middle-aged man who could not afford an angioplasty. BMJ


Understanding clinical complexity in organ and organizational systems: Challenges local and global. J Eval Clin Pract. 2023 Jun 19 doi: 10.1111/jep.13886.PMID: 37335625.

Traumatic subdural haematoma: integrating case-based clinical judgement with guidelines. BMJ Case Rep. 2020 Sep 6;13(9):e233197. doi: 10.1136/bcr-2019-233197. PMID: 32895250; PMCID: PMC7476468.


Integrated case-based clinical approach in understanding pathways, complexities, pitfalls and challenges in neurodegenerative disorders. Am J Neurodegener Dis. 2022 Jun 20;11(2):22-33. PMID: 35874938; PMCID: PMC9301093.

Academic Background & Research experience 

Current work:





11/03, 22:11]hu1: *Welcome Dear Scholars,* 

It needs Curiosity & Courage to choose *This Niche* 
We appreciate you all for that.✨

 *This project is active this month* 
So, we like to know your Passion & Bandwidth 

 *⭐Screening process* for our First project. 

Mail Us the details *within 2 days -* *Personal statement* 
      The details that you would like us to know about you & Your interest 
                 Academic Background & Research experience 

 *We will call you, as per your Personal statement.* for Virtual Meet.


Add If you have any research ideas, groundbreaking Questions - (optional )

Final 10 members listed to join our first projects. The other members can definitely stay here & take part in intriguing discussions 



 *Note* : 

We do Projects & Authorship is definitely based on The intellectual contribution & Primary investigator's autonomy. So basicaly we are helping each other to translate the ideas into project. _You can also come up with research ideas_ 

 *If you are interested, please email us.* 

 ⚠️_If we do not receive your email within 2 days, and no reason is communicated for the delay, it will be considered as lack of interest and your name may be removed from the list. However, you are always welcome to request to join again in the future._ 

Any doubts DM me.

~ regards


'..."  Forum 
Non profitable Student led commune
| interdisciplinary learning & Research|

[11/03, 22:11]hu1: Welcome everyone ❤️  

This group is for people who love both **ancient healing** and hardcore biomed science. 

We’ll be exploring how Ayurveda, herbs, yoga, Sattvik diet and mantras connect with real biomarkers, brain circuits, immunity and regeneration pathways.

Think of it as a bridge between palm-leaf wisdom and PubMed: from rasayanas and ojas to neuroplasticity, inflammation, stem cells and more.  We’ll share papers, design small studies, brainstorm hypotheses and support each other’s projects and careers in this niche.

Grateful you’re here—bring your curiosity, your lab brain, and your lived experience with these practices. Let’s see what we can co-create for the future of integrative, evidence-based healing. 🙏



[11/03, 22:11]hu1: Do share your passion for innovation and integrative medicine by mailing us your personal statement that truly screams you, also do connect with me on LinkedIn to share personal insights as well🤓🙌🏾




Tuesday, March 10, 2026

UDLCO CRH: The academic learning industry is going to transition and rise above it's current two dimensional academic flat lands

TLDR summary:


The academic industry is shifting towards an emotional economy where research participants (the global population) will receive returns on their data investment, involving privacy tradeoffs. AI-driven data collection and ambient AI with robotics will play a key role. 

*Key Words:*

- Emotional economy
- Data investment
- Ambient AI
- Robotics
- Academic publishing
- Research participants
- Privacy tradeoffs

*Thematic Analysis:

The text discusses the transformation of academic publishing, driven by AI and data collection, where research participants will benefit from their data contributions. It highlights concerns about AI-generated papers, papermill factories, and the challenges faced by journals like "First Monday". The conversation explores potential solutions, including new submission models and the role of AI in academic publishing. 





Summary

The conversation centers around the crisis in the academic publishing industry, specifically focusing on the impending shutdown of the open-access journal First Monday after 30 years. The primary catalyst for this closure is the overwhelming flood of AI-generated papers and capitalist "papermill factories" that have exhausted the limited supply of human peer reviewers.

To solve this, the participants discuss a paradigm shift from traditional two-dimensional academic publishing to a "three-dimensional emotional economy of scale." In this future model, advanced "ambient AI" and robotics will collect data, but the value generated will be democratized. As illustrated in the referenced Yanis Varoufakis video (https://youtu.be/ONDSeZjskrk?si=9m5rGMO-6rMUQPAJ), society creates capital collectively (e.g., feeding data into Google Maps) [03:48]. The proposed solution involves treating the global population as "research participants" who are entitled to dividends and returns on their data investments [04:18]. Ultimately, the thread suggests that the massive influx of AI-generated content will inevitably require AI co-editors and AI peer reviewers, pushing humans toward a collaborative co-evolution with machine intelligence.


Key Words

  • Academic Publishing Crisis: First Monday, Papermills, Peer Review Scarcity, TLDR Data

  • Artificial Intelligence: AI-generated papers, Ambient AI, Machine Intelligence, AI Co-editors

  • Economic/Data Models: Emotional Economy of Scale, Data Democratization, Privacy Trade-offs, Post-Capitalism

  • Human-Tech Integration: Orwellian Devices (Ideal/Collaborative), Human-Machine Co-evolution, Spatial Intelligence


Thematic Analysis

1. The Breaking Point of Traditional Peer Review

The text highlights a severe structural vulnerability in academic publishing: it cannot withstand the sheer volume and speed of generative AI. "Papermill factories" have industrialized the creation of fake papers and even fake reviewer personas. The participants acknowledge that human editors and reviewers are no longer equipped to handle this influx, meaning AI will inevitably have to be used to review, edit, and consume the AI-generated "TLDR data" that humans produce.

2. Data Democratization and the "Emotional Economy of Scale"

A major theme is the re-evaluation of who profits from data. The author argues that the global population acts as an unpaid base of research participants. Drawing heavily on the linked video where Yanis Varoufakis points out that tech giants like Google rely on the collective data output of everyday people to build their capital [03:48], the text imagines an academic future where this dynamic is rectified. In this "emotional economy," individuals will finally receive a return on their "data investment" and privacy trade-offs, mirroring Varoufakis's proposal of corporate dividends paying out to all citizens [04:18].

3. "Ideal" Orwellian Surveillance and Ambient AI

The author reimagines "Orwellian devices" not as a dystopian nightmare, but as an ideal, ambient integration of AI and robotics. By citing the Stanford research, the text explores a future where physical and spatial AI systems seamlessly collect data while simulating human troubleshooting. This shifts technology from being a mere tool to a collaborative partner that democratizes expertise, allowing junior and senior problem-solvers to perform at similar levels.

4. Human-Machine Co-evolution

Rather than humans being completely "written off" their academic flatlands, the text points toward a symbiotic future. While human editors-in-chief may become a thing of the past, human intuition and machine intelligence will co-evolve. Humans will continue to participate in real-time action research, while AI handles the heavy lifting of data consumption and complex spatial reasoning.


Conversational copy pasted biased Summary:

The publications driven academic learning industry is going to transition and rise above it's current two dimensional academic flat lands and move toward a three dimensional emotional economy of scale where the fruits of data will be directly shared with the bottom of the pyramid, the so called research participants (very much the entire global population) who will be eventually entitled to the return on their data investment that involves privacy tradeoffs and essentially being used as a product. 

This video illustrates the above process at it's end: https://youtu.be/ONDSeZjskrk?si=9m5rGMO-6rMUQPAJ

Data collection will involve Orwellian devices, the ideal kind and not dystopian as conjured originally by Orwell that will involve ambient AI with a mix of robotics, check out this recent release from Stanford and to quote with generalizeable edits: 

"Mimicking human cognition via a dual-system architecture, this technology demonstrates superior reasoning on  benchmarks and autonomously executes complex research. To extend this intelligence physically, the system simulates human trouble shooting procedures as a physics-aware model to foresee adverse events. Generating and validating on the previous benchmark, the tech exhibits spatial intelligence for reasoning and action. Crucially, we demonstrate that this platform democratizes expertise and narrows the performance gap between junior and senior human trouble shooters. The tech transforms human trouble shooting interventions towards a collaborative discipline where human intuition and machine intelligence co-evolve."

Unquoted from: 


The above learning points are from the conversations centred around a long term open access publication platform that's scheduled for closure due to market forces. More about that platform here: https://en.wikipedia.org/wiki/First_Monday_(journal)

Conversational learning transcripts:

Date: Wed, 11 Mar 2026, 08:33
Subject: Re: First Monday shutting down after 30 years



Solutions are easier said than done.

Here goes the said iterations for whatever it's worth:

The publications driven academic learning industry is going to transition and rise above it's current two dimensional academic flat lands and move toward a three dimensional emotional economy of scale where the fruits of data will be directly shared with the bottom of the pyramid, the so called research participants (very much the entire global population) who will be eventually entitled to the return on their data investment that involves privacy tradeoffs and essentially being used as a product. 

This video illustrates the above process at it's end: https://youtu.be/ONDSeZjskrk?si=9m5rGMO-6rMUQPAJ

Data collection will involve Orwellian devices, the ideal kind and not dystopian as conjured originally by Orwell that will involve ambient AI with a mix of robotics, check out this recent release from Stanford and to quote with generalizeable edits: 

"Mimicking human cognition via a dual-system architecture, this technology demonstrates superior reasoning on  benchmarks and autonomously executes complex research. To extend this intelligence physically, the system simulates human trouble shooting procedures as a physics-aware model to foresee adverse events. Generating and validating on the previous benchmark, the tech exhibits spatial intelligence for reasoning and action. Crucially, we demonstrate that this platform democratizes expertise and narrows the performance gap between junior and senior human trouble shooters. The tech transforms human trouble shooting interventions towards a collaborative discipline where human intuition and machine intelligence co-evolve."

Unquoted from: 





best,

rb 


On Wed, 11 Mar 2026, 06:31 Hu1> wrote:
Hello,

AI-generated papers are a real problem as it can be no coincidence that within a year many journals have seen a multiplication of the number of
submissions...

It makes the whole academic publishing process more difficult than it is already. And papermill factories have already made a capitalist process
out of AI-generated papers, even creating fake reviewer email addresses of people actually existing that are suggested as potential reviewers, etc.

I fear there is no easy solution... Any ideas?

Best hu1

Am 10.03.26 um 03:36 schrieb Hu2:
> AI co-authors would automatically beget AI co-editors and AI peer reviewers.
>
> Perhaps it's time for every human to experience being the last human
> "editor in chief" before they are edited out and written off from their
> academic flat lands!
>
> Either way in our regular data collection and raw blog publications (peer
> reviewed by our own large number of global team members), we have come to
> terms with the fact that the humungous human TLDR data we generate daily is
> largely fit for AI consumption and currently not fit for most humans who
> are not a part of our participatory action research in real time!
>
> best,
>
> Hu2
>
>
> On Tue, 10 Mar 2026, 07:43 hu1wrote:
>
>> I would also be interested in helping keep FM alive.
>>
>> The crazy increase in submissions and the associated scarcity of reviewers
>> is a challenge that all journals have been dealing with but now we face an
>> incoming avalanche of AI (co-)generated papers that exceed even the
>> capacity of editors that have substantial institutional support.
>>
>> "Perhaps FM - the Sequel" could become a testbed for a different submission
>> model!? Happy to share a few ideas.
>>
>> Best,
>> 
>>
>>
>>
>>
>> On Sun, Feb 8, 2026 at 5:36 AM hu3 wrote:
>>
>>> Would be happy to volunteer as well, and have experience acting as an
>>> Editor-in-Chief
>>>
>>> 

Monday, March 9, 2026

UDLCO CRH: Learning is all about descending mount stupid to the valley of despair only to persevere and climb beyond to the sustainability plateau

Guess it's all about how one slowly trudges one's way up their slope of enlightenment from a valley of despair to a sustainability plateau after quickly descending mount stupid, which is a hidden challenge disguised as pleasure before it throws you into the valley!



CC licence:

https://commons.wikimedia.org/wiki/File:Dunning%E2%80%93Kruger_Effect_01.svg

UDLCO glossary: https://userdrivenhealthcare.blogspot.com/2023/11/glossary-of-user-driven-healthcare.html?m=1


Different group citations:

Health tech management group:

[09/03, 22:58]hu1: I think we cannot depend on AI to self-audit itself (especially as we may go towards AGI), it will cleverly navigate around this. Holding AI accountable maybe the last human bastion.

[10/03, 06:13]hu2: Coercive accountability or making it truly learned and wise enough not to repeat human mistakes?


Guess it's all about how any entity (biological or AI) slowly trudges it's  way up their slope of enlightenment from a valley of despair to it's sustainability plateau (think global sustainability that can mitigate a climate change crisis) after quickly descending mount stupid, which is a hidden challenge disguised as pleasure before it throws you into the valley!


https://userdrivenhealthcare.blogspot.com/2026/03/udlco-crh-learning-is-all-about.html?m=1

Midlife management group:


[07/03, 08:08]hu2: The only rule I follow to keep on track is to learn something new such that it makes me the stupidest person in the room with those who've already mastered it!


"The research on this is overwhelming. When we stop challenging ourselves with genuinely difficult tasks that make us feel stupid, our brains begin to prune the neural pathways we're not using. It's not age that causes cognitive decline. It's the absence of cognitive challenge. Real challenge. 


The kind that makes you wonder if everyone else in the room thinks you're an idiot.


The moment we retire, we're told we've earned the right to relax, to stick with what we know, to stop struggling. But that well-meaning advice is a cognitive death sentence. 


The single daily practice that keeps minds sharp past 70 isn't meditation or crosswords or expensive supplements. 


It's the practice of deliberate incompetence. The willingness to be the worst person in the room at something, every single day."


Unquote


https://vegoutmag.com/lifestyle/a-bt-psychology-says-people-who-stay-mentally-sharp-past-70-dont-do-it-through-brain-games-they-do-it-through-a-single-daily-practice-that-most-people-abandon-the-moment-they-retire/

[07/03, 08:11]hu1: I agree completely.. and my way of challenging myself is learning a new skill that makes me look like a goof😂

[07/03, 08:13]hu3: I'm exercising my mind...learning classical music at 56

[07/03, 08:19]hu2: 👏me too! I'm 56 and I love carnatic classical music and yesterday I tried my hand at Western rock and roll by Carsie Blanton and loved it although prior to this I had never been able to tolerate any other music other than classical

[09/03, 15:42]hu1: Hello and a warm welcome to everyone new on this group..


Hi folks, and a warm welcome to everyone!

In this group i try my best to be your accountability partner and check in on you every day ( sorry I missed sometimes ).

I strongly believe that midlife is a time when our body is signalling for attention — a time to slow down, pause, and truly focus on ourselves. It’s a conscious, learned practice, and very often an uphill journey.

[10/03, 06:07]hu1: Midlife need not be a perpetual valley of despair.


Guess it's all about how one slowly trudges one's way up their slope of enlightenment from the valley of despair to a sustainability plateau after quickly descending mount stupid, which is a hidden challenge disguised as pleasure before it throws you into the valley!


https://userdrivenhealthcare.blogspot.com/2026/03/udlco-crh-learning-is-all-about.html?m=1

AI healthcare group:



[10/03, 01:03]hu1: Yes this is real😃

[10/03, 01:03]hu1: But I think perseverance is the key

[10/03, 05:46]hu2: Persevere till the initial enthusiasm spike plateaus optimally

[10/03, 05:52]hu2: Guess it's all about how one slowly trudges one's way up their slope of enlightenment from a valley of despair to  sustainability plateau after quickly descending mount stupid, which is a hidden challenge disguised as pleasure before it throws you into the valley!


https://commons.wikimedia.org/wiki/File:Dunning%E2%80%93Kruger_Effect_01.svg

Friday, March 6, 2026

Offline dyadic to online Collective transition challenges ProJR with UDLCO CRH: Transition challenges from local offline dyadic healthcare systems to global online information user driven healthcare

*Summary and Thematic Analysis*

The conversation revolves around the challenges of transitioning from local offline dyadic healthcare systems to global online information user-driven healthcare. The discussion highlights the difficulties of maintaining patient follow-up and communication in an online setting, particularly when dealing with multiple patients and advocates.


*Key Themes:*


1. *Transition challenges*: The conversation emphasizes the difficulties of adapting to online healthcare systems, including communication and information management.

2. *Patient privacy and confidentiality*: The discussion highlights the importance of maintaining patient confidentiality and anonymity in online healthcare settings.

3. *Asynchronous communication*: The conversation notes the challenges of asynchronous communication in online healthcare, including delayed responses and lack of face-to-face interaction.


*Thematic Analysis:*


The conversation reflects the complexities and challenges of online healthcare, including communication, information management, and patient privacy. The discussion emphasizes the need for effective communication strategies and patient-centered approaches in online healthcare settings.


*Image:*

No image is available in the provided text.


*Poem:*

In the online world, we search and share

Healthcare information, with care

But challenges abound, in this digital space

Communication gaps, a constant pace 🌟



Conversational learning Transcripts:

No communication from the patient's advocate since the PaJR group was created in December 2023 or possibly the communication disappeared from chat due to either someone's turning on disappearing messages or changing the phone altogether.

[15/11/2024, 09:10]hu2: Any update on this patient?

[05/03, 22:35]hu2 : @⁨patient advocate 40M Polyarthritis⁩ @⁨Pt advocate 70f intestinal⁩ any update on this patient?


[06/03, 22:08] Pt advocate 70f intestinal: Yes actually patient's advocate in this side... On 2024 Six months after returning from Hyderabad, his knee pain started again. He is taking his painkiller medicine wysolone while the pain is increasing so much. Diabetes is under control sometimes then sometimes it increases then he visited a physician on starting of 2025 and is now taking medicine for diabetes also. He can't maintain proper diet because he loves to eat. He needs proper diet and yours suggestions and guidance for healthy  life. We are planning to will come for a check-up in October.

[07/03, 08:24]hu2 : The patient in this group is labeled 70F so we are a bit confused if this is the same patient you are talking about or is this a new patient?


[07/03, 08:28]hu2: If this is a new patient without a PaJR group then Next step is to download this form: [Informed Patient Consent and Authorization Form](https://userdrivenhealthcare.blogspot.com/2025/10/pajr-consent-form-modified-for-dpdp.html?m=1), read it, and sign it. 

Include the following details in the form:

- Age
- Gender
- Full address
- Brief description of the problem
- Today’s date
- WhatsApp mobile number
- Tick all the boxes indicating that the person signing has read all the paragraphs 

Then scan the form and send it to

Mrs Sailaja: +91 80747 25352, our team coordinator and archivist 

After that, she will create a separate PaJR group for the patient, and we can begin discussions with other team members regarding the patient’s issues to find the best possible evidence-based solution and also archive her deidentified data in an open access case repository as here: https://pajrcasereporter.blogspot.com/?m=1

Ask the patient or their relative to not reveal their identity to anyone. 

Ask them to simply introduce themselves as their patient’s representative so that we can all protect the patient’s privacy and confidentiality.



---
[07/03, 08:28] Pt 40M advocate Polyarthritis: Not a new patient


[07/03, 09:01]hu2: Deleted the patient's identifier to protect his privacy.

This PaJR is for a 70F patient who was being followed up by you. Please provide her updates here if possible.

For the other patient you mentioned please follow the consent form sharing advice texted above


[07/03, 09:19]hu2: I can understand the confusion.

In the online world of collective cognition and asynchronous communication things are a bit different from offline synchronous face to face communication that thrives on biological memories of the local offline practitioner who may be able to review the patient more frequently and refresh his her memory with the paper based documents as well that are often carried by the patient who's face itself offers an instant recognition and recall.

The global online practitioner on the other hand has to contend with deidentification requirements that hide a lot of information about the patient along with the identifiers and also may not have access to the past history especially as in this patient who appears to be getting in touch for the second time after December 2023 with no follow up updates in between also not this particular patient in the group but another patient who is likely related to her.

For this patient without a PaJR group the next step is to download this form: [Informed Patient Consent and Authorization Form](https://userdrivenhealthcare.blogspot.com/2025/10/pajr-consent-form-modified-for-dpdp.html?m=1), read it, and sign it. 

Include the following details in the form:

- Age
- Gender
- Full address
- Brief description of the problem
- Today’s date
- WhatsApp mobile number
- Tick all the boxes indicating that the person signing has read all the paragraphs 

Then scan the form and send it to

Mrs Sailaja: +91 80747 25352, our team coordinator and archivist 

After that, she will create a separate PaJR group for the patient, and we can begin discussions with other team members regarding the patient’s issues to find the best possible evidence-based solution and also archive her deidentified data in an open access case repository as here: https://pajrcasereporter.blogspot.com/?m=1

Ask the patient or their relative to not reveal their identity to anyone. 

Ask them to simply introduce themselves as their patient’s representative so that we can all protect the patient’s privacy and confidentiality.


@⁨Meta AI⁩ please translate the above text to Bengali 
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[07/03, 09:19] Meta AI: āύāϤুāύ āϰোāĻ—ী āύāϝ়
āφāĻŽি āĻŦুāĻāϤে āĻĒাāϰāĻ›ি āĻŦিāĻ­্āϰাāύ্āϤিāϟা। āϏāĻŽāώ্āϟিāĻ—āϤ āϜ্āĻžাāύ āφāϰ āĻ…āϏāĻŽāĻ•াāϞীāύ āϝোāĻ—াāϝোāĻ—েāϰ āĻ…āύāϞাāχāύ āϜāĻ—āϤে āϜিāύিāϏāĻ—ুāϞো āĻāĻ•āϟু āφāϞাāĻĻা āĻ…āĻĢāϞাāχāύ āĻŽুāĻ–োāĻŽুāĻ–ি āϝোāĻ—াāϝোāĻ— āĻĨেāĻ•ে, āϝেāĻ–াāύে āϏ্āĻĨাāύীāϝ় āĻ…āĻĢāϞাāχāύ āĻĒেāĻļাāĻĻাāϰ āϰোāĻ—ীāĻ•ে āĻŦেāĻļি āĻĻেāĻ–াāϰ āϏুāϝোāĻ— āĻĒাāύ āφāϰ āĻ•াāĻ—āϜেāϰ āύāĻĨি āφāϰ āϰোāĻ—ীāϰ āϚেāĻšাāϰাāϰ āĻ­িāϤ্āϤিāϤে āϏ্āĻŽৃāϤি āĻাāϞিāϝ়ে āύেāύ। āĻ…āύ্āϝāĻĻিāĻ•ে, āĻ—্āϞোāĻŦাāϞ āĻ…āύāϞাāχāύ āĻĒেāĻļাāĻĻাāϰāĻ•ে āĻĄিāχāĻĄেāύ্āϟিāĻĢিāĻ•েāĻļāύ āύিāϝ়āĻŽ āĻŽেāύে āϚāϞāϤে āĻšāϝ়, āϝাāϤে āϰোāĻ—ীāϰ āĻ…āύেāĻ• āϤāĻĨ্āϝ āϞোāĻ•āϚāĻ•্āώুāϰ āφāĻĄ়াāϞে āĻĨাāĻ•ে, āφāϰ āĻ…āϤীāϤেāϰ āĻšিāϏ্āϟ্āϰিāĻ“ āĻĒাāĻ“āϝ়া āύাāĻ“ āϝেāϤে āĻĒাāϰে, āĻŦিāĻļেāώ āĻ•āϰে āĻāχ āϰোāĻ—ীāϰ āĻ•্āώেāϤ্āϰে āϝিāύি āĻĄিāϏেāĻŽ্āĻŦāϰ ⧍ā§Ļā§¨ā§Š āĻāϰ āĻĒāϰ āĻĻ্āĻŦিāϤীāϝ়āĻŦাāϰ āϝোāĻ—াāϝোāĻ— āĻ•āϰāĻ›েāύ, āĻāϰ āĻŽাāĻে āφāϰ āφāĻĒāĻĄেāϟ āύেāχ। āφāϰ āĻāϟা āϏেāχ āĻ—্āϰুāĻĒেāϰ āϰোāĻ—ীāĻ“ āύāϝ়, āϏāĻŽ্āĻ­āĻŦāϤ āφāϤ্āĻŽীāϝ় āĻ•েāω।

āĻāχ āϰোāĻ—ীāϰ āϜāύ্āϝ āϝাāϰ PaJR āĻ—্āϰুāĻĒ āύেāχ, āĻĒāϰেāϰ āϧাāĻĒ āĻšāϞো āĻāχ āĻĢāϰ্āĻŽāϟা āĻĄাāωāύāϞোāĻĄ āĻ•āϰা: (āϞিāĻ™্āĻ• āωāĻĒāϞāĻ­্āϝ āύেāχ), āĻĒāĻĄ়া āφāϰ āϏāχ āĻ•āϰা। āĻĢāϰ্āĻŽে āĻāχ āϤāĻĨ্āϝāĻ—ুāϞো āĻĻিāϤে āĻšāĻŦে:
- āĻŦāϝ়āϏ
- āϞেāĻ–āĻ•
- āĻĒুāϰো āĻ িāĻ•াāύা
- āϏāĻŽāϏ্āϝাāϰ āϏংāĻ•্āώিāĻĒ্āϤ āĻŦāϰ্āĻŖāύা
- āφāϜāĻ•েāϰ āϤাāϰিāĻ–
- āĻšোāϝ়াāϟāϏāĻ…্āϝাāĻĒ āύāĻŽ্āĻŦāϰ
- āϏāĻŦāĻ—ুāϞো āĻŦāĻ•্āϏে āϟিāĻ• āĻĻেāĻ“āϝ়া āϝাāϤে āĻŦোāĻা āϝাāϝ় āϞোāĻ•āϟা āϏāĻŦ āĻ…āύুāϚ্āĻ›েāĻĻ āĻĒāĻĄ়ে āϏāχ āĻ•āϰেāĻ›ে

āϤাāϰāĻĒāϰ āĻĢāϰ্āĻŽāϟা āϏ্āĻ•্āϝাāύ āĻ•āϰে āĻĒাāĻ িāϝ়ে āĻĻিāύ āĻŽিāϏেāϏ āĻļৈāϞāϜাāĻ•ে: +91 80747 25352, āφāĻŽাāĻĻেāϰ āϟিāĻŽ āĻ•োāϰ্āĻĄিāύেāϟāϰ āφāϰ āφāϰ্āĻ•াāχāĻ­িāϏ্āϟ।
āϤাāϰāĻĒāϰ āϤিāύি āϰোāĻ—ীāϰ āϜāύ্āϝ āφāϞাāĻĻা PaJR āĻ—্āϰুāĻĒ āĻ–ুāϞāĻŦেāύ, āφāϰ āφāĻŽāϰা āϟিāĻŽেāϰ āĻ…āύ্āϝ āϏāĻĻāϏ্āϝāĻĻেāϰ āϏাāĻĨে āϰোāĻ—ীāϰ āϏāĻŽāϏ্āϝা āύিāϝ়ে āφāϞোāϚāύা āĻ•āϰে āϏেāϰা āĻĒ্āϰāĻŽাāĻŖ-āĻ­িāϤ্āϤিāĻ• āϏāĻŽাāϧাāύ āĻ–ুঁāϜে āĻŦেāϰ āĻ•āϰāĻŦো, āφāϰ āϰোāĻ—ীāϰ āĻĄিāχāĻĄেāύ্āϟিāĻĢাāχāĻĄ āĻĄেāϟা āĻ“āĻĒেāύ āĻ…্āϝাāĻ•্āϏেāϏ āĻ•েāϏ āϰিāĻĒোāϜিāϟāϰিāϤে āφāϰ্āĻ•াāχāĻ­ āĻ•āϰāĻŦো āĻāĻ–াāύে: (āϞিāĻ™্āĻ• āωāĻĒāϞāĻ­্āϝ āύেāχ)

āϰোāĻ—ী āĻŦা āφāϤ্āĻŽীāϝ়āĻ•ে āĻŦāϞুāύ āύিāϜেāĻĻেāϰ āĻĒāϰিāϚāϝ় āĻ•াāϰো āĻ•াāĻ›ে āĻĒ্āϰāĻ•াāĻļ āύা āĻ•āϰāϤে। āĻŦāϞুāύ āύিāϜেāĻ•ে āϰোāĻ—ীāϰ āĻĒ্āϰāϤিāύিāϧি āĻšিāϏেāĻŦে āĻĒāϰিāϚāϝ় āĻĻিāϤে, āϝাāϤে āϰোāĻ—ীāϰ āĻ—োāĻĒāύীāϝ়āϤা āϰāĻ•্āώা āĻšāϝ়।