What question did this study set out to answer?

This study aims to integrate multi-omics data with machine learning to enhance precision nutrition strategies for cardiometabolic disease prevention in Malaysia.

July 8, 2026Journal of DiabetologyOpen Access

Protocol for a Pilot Study to Implement a Systems-Level Precision Nutrition Approach Using Multi-omics and Machine Learning to Predict Cardiometabolic Risk in a Young Adult Population of Malaysia

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Authors

ADAnto Cordelia Tanislaus Antony DhanapalUniversiti Tunku Abdul Rahman KVKarani S. VimaleswaranUniversity of Reading

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Implication

Pilot study develops a precision nutrition approach to predict cardiometabolic risk in Malaysian young adults, suggesting innovative population health strategies.

Key Points

This study aims to integrate multi-omics data with machine learning to enhance precision nutrition strategies for cardiometabolic disease prevention in Malaysia.
Systematic recruitment of metabolically healthy young adults aged 18–25 from a multi-ethnic population in Kinta District, Perak.
Collection of sociodemographic, dietary, lifestyle, and clinical data, alongside nutritional anthropometry and biochemical measurements.
Development of an AI predictive model to analyze gene–environment–microbiome–metabolome interactions for personalized obesity risk assessment.
Integration of multi-omics data allows for personalized obesity risk stratification, tailored specifically for Malaysia's population.
Establishment of a comprehensive dataset combining genetic, environmental, and lifestyle factors for obesity research.
The study paves the way for developing actionable precision nutrition strategies aimed at reducing cardiometabolic disease risk.

Cite This Study

Dhanapal et al. (2026) studied this question.

synapsesocial.com/papers/6a4de9add2ea289ef6283cc2 https://doi.org/10.4103/jod.jod_81_26

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Implication

Pilot study develops a precision nutrition approach to predict cardiometabolic risk in Malaysian young adults, suggesting innovative population health strategies.

Protocol for a Pilot Study to Implement a Systems-Level Precision Nutrition Approach Using Multi-omics and Machine Learning to Predict Cardiometabolic Risk in a Young Adult Population of Malaysia

Discussion

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Implication

Key Points

Cite This Study

Protocol for a Pilot Study to Implement a Systems-Level Precision Nutrition Approach Using Multi-omics and Machine Learning to Predict Cardiometabolic Risk in a Young Adult Population of Malaysia

Discussion

Member takes

Implication

Key Points

Cite This Study

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