Physics Informed Machine Learning-based Prediction and Reversion of Impaired Fasting Glucose Management

Inclusion Criteria

Inclusion Criteria: * Healthy adult volunteers (age ≥ 18 years old); * Overweight (BMI 25 - 29.9 kg/m2) and obese grade I individuals (with BMI 30 - 34.9 kg/m2); * Written consent of the participant after being informed; * Ownership of a smartphone running Android or iOS. Exclusion Criteria: * Non-compliance; * Ongoing treatment with immunosuppressive and/or anti-inflammatory medications (NSAIDs, glucocorticoids, chemotherapy, biologicals); * Ongoing treatment with glucose lowering drugs, except if anti-diabetic medication has not been stopped - for metformin one month, for GLP-1 RA, tirzepatide - two months prior enrolment; * Presence of autoimmune and/or inflammatory disease (autoimmune thyroid disease, psoriasis, inflammatory bowel disease); * Skin conditions hindering application of continuous glucose monitoring systems; * Diabetes or prediabetes as diagnosed by ADA/WHO criteria according to fasting glucose and/or HbA1c; * High risk alcohol consumption - according to NIAAA - National Institute on Alcohol Abuse and Alcoholism (for men - more than 4 drinks on any day or more than 14 drinks per week; for women - more than 3 drinks on any day or more than 7 drinks per week); * Factors otherwise limiting the participation in the study according to the judgement of the investigator; * Pregnancy or intention to get pregnant during the study timeline.