ML in Health Science
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Medical Publisher and Journal for Web-Based ML Applications in Healthcare and Research (ISSN 2942-8726)
$MLHS
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The deeper we audit the literature while building ☸️SAIMSARA, the clearer one simple truth becomes: journal prestige is a poor proxy for evidentiary integrity. High-impact platforms provide visibility, speed, and citations, but they do not reliably protect against duplicate publications, abstract inflation, recycled datasets, or the artificial expansion of the evidence base.

That is why the future should not belong to blind trust in journal labels, but to systems that can inspect the actual architecture of evidence: what is truly independent, what is only a preliminary abstract, what is duplicated, and what merely creates the illusion of scientific weight.
#SAIMSARA #MLHS #EvidenceMapping #ScopingReview #MedicalResearch #ScientificIntegrity #ResearchAudit #EvidenceBasedMedicine #AcademicPublishing #MetaResearch #DigitalHealth #MachineGeneratedScience #ReferenceCheck #LiteratureReview #OpenScience
Forwarded from ☸️SAIMSARA
Not every LLM is best for every task.

At SAIMSARA, one scientific review is built through a multi-model pipeline, where each model is chosen for what it does best.

Gemini Flash-Lite helps us with fast first-pass filtering and scientific session building.
Grok supports evidence mapping and direction-based vote counting.
ChatGPT and Gemini Pro help analyze the session and turn selected evidence into the backbone of the paper.
Claude handles deep finalization, limitations, and conclusion writing.

One review. Four LLMs. One evidence-driven workflow:
https://youtu.be/gteBO4GLBQM

#SAIMSARA #LLM #AI #ScientificResearch #EvidenceBasedMedicine #MachineGeneratedScience #ChatGPT #Gemini #Grok #Claude #AIinScience #DigitalHealth
Forwarded from ☸️SAIMSARA
SAIMSARA has integrated World ID proof-of-human verification into its editorial workflow, now combining:

𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗲𝗱 𝗦𝗰𝗶𝗲𝗻𝗰𝗲
𝗛𝘂𝗺𝗮𝗻 𝗩𝗲𝗿𝗶𝗳𝗶𝗲𝗱 𝗯𝘆 𝗪𝗼𝗿𝗹𝗱 𝗜𝗗

For us, World ID represents an important layer for the next stage of AI-native publishing: proof that behind machine-generated science, there is still a verified human responsible for editorial review, interpretation, and oversight.

#SAIMSARA #WorldID #MachineGeneratedScience