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Evidence & Attribution

Scientific, Demographic & Regulatory References

Every demographic statistic, biomarker taxonomy definition, and regulatory standard referenced across the SabChill Digital Biomarker OS website is grounded in the primary publications listed below. All external studies remain the intellectual property and scientific achievement of their respective authors.

[REF-01] • Demographic & EpidemiologyPublished: 2020

Longitudinal Ageing Study in India (LASI) Wave 1, 2017–18, India Report

International Institute for Population Sciences (IIPS), NPHCE, MoHFW, Harvard T.H. Chan School of Public Health, & USC — International Institute for Population Sciences, Mumbai

Landmark national survey documenting health, cognition, and socio-economic trajectories across over 72,000 older adults in India, establishing the epidemiological baseline for longitudinal ageing research.

https://www.iipsindia.ac.in/sites/default/files/LASI_India_Report_2020_compressed.pdf ↗
[REF-02] • Demographic & EpidemiologyPublished: 2022

Cohort Profile: The Longitudinal Ageing Study in India (LASI)

Perianayagam A., Bloom D., Lee J., Parasuraman S., Sekher T.V., Mohanty S.K., et al. — International Journal of Epidemiology, 51(4), e167–e176

Documents India's demographic transition: adults aged 60+ numbered 103 million (8.6%) in 2011 and are projected to reach 319 million (19.5% of total population) by 2050, with adults aged 45+ exceeding 655 million.

https://pmc.ncbi.nlm.nih.gov/articles/PMC9365624/ ↗
[REF-03] • Demographic & EpidemiologyPublished: 2018

Census of India 2011 — Paper 1 of 2018: Language (India, States and Union Territories)

Office of the Registrar General & Census Commissioner, India — Ministry of Home Affairs, Government of India

Establishes the linguistic distribution of India across 22 Scheduled languages and 121 major languages, underscoring why speech-based health research must account for vernacular diversity and code-switching.

https://censusindia.gov.in/nada/index.php/catalog/42458/download/46089/C-16_25062018.pdf ↗
[REF-04] • Acoustic & Linguistic BiomarkersPublished: 2016

Linguistic features identify Alzheimer's disease in narrative speech

Fraser K.C., Meltzer J.A., & Rudzicz F. — Journal of Alzheimer's Disease, 49(2), 407–422

Demonstrates that psycholinguistic variables—including semantic density, pronoun-to-noun ratios, lexical diversity, and syntactic complexity—exhibit measurable associations with cognitive status in narrative speech.

https://pmc.ncbi.nlm.nih.gov/articles/PMC12233998/ ↗
[REF-05] • Acoustic & Linguistic BiomarkersPublished: 2025

Diagnostic utility of speech-based biomarkers in mild cognitive impairment

Oxford Academic Age and Ageing Systematic Review — Age and Ageing, 54(10), afaf316

Synthesises peer-reviewed evidence on acoustic and temporal speech features (pause duration, speech rate, and prosodic variability) as non-invasive candidate markers in mild cognitive impairment research.

https://pmc.ncbi.nlm.nih.gov/articles/PMC12560767/ ↗
[REF-06] • Acoustic & Linguistic BiomarkersPublished: 2025

Linguistic Markers in Spontaneous Speech: Insights into Subjective Cognitive Decline

NIH PMC Neurocognitive Speech Consortium — PubMed Central (PMC12652931)

Investigates word-retrieval latencies, filled pauses, and discourse coherence in spontaneous connected speech as early research indicators prior to overt clinical impairment.

https://pmc.ncbi.nlm.nih.gov/articles/PMC12652931/ ↗
[REF-07] • Acoustic & Linguistic BiomarkersPublished: 2021

Speech Biomarkers in Rapid Eye Movement Sleep Behavior Disorder and Parkinson Disease

Rusz J., Tykalova T., Ramig L.O., & Tripoliti E. — Annals of Neurology / PMC Speech Motor Review

Establishes acoustic phonatory and articulatory measurements—including fundamental frequency (F0) variability, cepstral peak prominence (CPP), jitter, shimmer, and vowel space area—in hypokinetic dysarthria research.

https://pmc.ncbi.nlm.nih.gov/articles/PMC11933288/ ↗
[REF-08] • Regulatory & Ethical FrameworksPublished: 2016–2025

BEST (Biomarkers, EndpointS, and other Tools) Resource

FDA-NIH Biomarker Working Group — U.S. Food and Drug Administration & National Institutes of Health

Defines the formal evidentiary taxonomy distinguishing susceptibility/risk, diagnostic, monitoring, prognostic, and digital biomarkers, emphasizing analytical validation and clinical validation.

https://www.ncbi.nlm.nih.gov/books/NBK326791/ ↗
[REF-09] • Regulatory & Ethical FrameworksPublished: 2025

Guidance Document on Medical Device Software under Medical Devices Rules, 2017

Central Drugs Standard Control Organisation (CDSCO) — Ministry of Health and Family Welfare, Government of India

Delineates the regulatory boundary in India between General Wellness Software (observational tracking and healthy lifestyle support) and regulated Software as a Medical Device (SaMD Classes A–D).

https://cdsco.gov.in/opencms/export/sites/CDSCO_WEB/Pdf-documents/Guidance-document-on-Medical-Device-Software-under-MDR-2017.pdf ↗
[REF-10] • Regulatory & Ethical FrameworksPublished: 2017

National Ethical Guidelines for Biomedical and Health Research Involving Human Participants

Indian Council of Medical Research (ICMR) — Indian Council of Medical Research, New Delhi

Mandates Ethics Committee oversight, informed vernacular consent, vulnerability protections for older adults, and strict data stewardship in human biomedical research.

https://www.indiascienceandtechnology.gov.in/sites/default/files/file-uploads/guidelineregulations/1527507675_ICMR_Ethical_Guidelines_2017.pdf ↗
[REF-11] • Regulatory & Ethical FrameworksPublished: 2023

Ethical Guidelines for Application of Artificial Intelligence in Biomedical Research and Healthcare

Indian Council of Medical Research (ICMR) Artificial Intelligence Cell — Indian Council of Medical Research, New Delhi

Establishes algorithmic accountability, subgroup fairness across Indian demographic diversity, human-in-the-loop clinical adjudication, and participant autonomy requirements.

https://www.icmr.gov.in/icmrobject/custom_data/pdf/Ethical-guidelines/Ethical_Guidelines_AI_Healthcare_2023.pdf ↗
[REF-12] • Regulatory & Ethical FrameworksPublished: 2023

The Digital Personal Data Protection Act, 2023 (No. 22 of 2023)

Ministry of Electronics and Information Technology (MeitY), Government of India — The Gazette of India Extraordinary

Establishes the statutory framework for Data Principals and Data Fiduciaries in India, including notice in 22 Eighth Schedule languages, purpose-limited processing, and right to withdrawal and erasure.

https://www.meity.gov.in/static/uploads/2024/06/2bf1f0e9f04e6fb4f8fef35e82c42aa5.pdf ↗