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research A Hybrid Transfer Learning Approach Using Obesity Data for Predicting Cardiovascular Diseases Incorporating Lifestyle Factors

December 2024 in “International Journal of experimental research and review”

In this study, the integration of obesity-related features and machine learning techniques significantly enhanced cardiovascular disease detection, with the XGBoost classifier achieving a 74% accuracy rate and improved metrics compared to other models.

research Predicting Hair Loss with AI: A Deep Learning Framework Combining Genetic and Scalp Health Data

2 citations , January 2024

In this study, researchers proposed a deep learning approach combining genetic, hormonal, scalp health, and lifestyle data to predict hair loss, employing CNNs for image analysis and RNNs for modeling data over time, although specific results are not reported.

research Assessment of Multidimensional Health Care Parameters Among Adults in Japan for Developing a Virtual Human Generative Model: Protocol for a Cross-sectional Study

April 2023 in “JMIR Research Protocols”

In this study, researchers are constructing a comprehensive data set from 997 adult participants in Japan to develop a statistical model that explores the relationships among various health parameters, aiming to enable personalized and preventive health care interventions based on empirical data.

research Phenotype-Specific Lifestyle Prediction for PCOS Using Machine Learning Multi-Class Classification and SHAP Explainability

May 2026 in “International Journal of Drug Delivery Technology”

This study reports that using machine learning models, particularly XGBoost and Random Forest, can accurately predict PCOS phenotypes based on non-invasive data, with cycle length as the most significant predictor.

research Investigating the role of obesity, circadian disturbances and lifestyle factors in people with schizophrenia and bipolar disorder: Study protocol for the SOMBER trial

July 2024 in “PLoS ONE”

This study is designed to explore how circadian rhythms are affected by obesity and mental health conditions, such as schizophrenia and bipolar disorder, using biological and lifestyle data from independently living adults.

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community Interesting article links major MPB theories to western diet (and life-style)

in Research/Science 58 upvotes 1 year ago

Poor diet and lifestyle contribute to male pattern baldness. Treatments like Minoxidil, dietary changes, and lifestyle adjustments may help slow hair loss.

community Yes your lifestyle and diet has its role in hair loss.

in Chat 296 upvotes 1 year ago

Diet and lifestyle changes can reduce hair shedding but won't regrow hair lost to genetic male pattern baldness. Treatments like finasteride and dutasteride are necessary for significant hair regrowth.

community Regrowth with only Nizoral and Lifestyle Changes; focusing on scalp health & nervous system

89 upvotes 8 months ago

The user reported subtle hair regrowth by focusing on scalp health and lifestyle changes, using Nizoral shampoo and methods to reduce inflammation and cortisol, without using finasteride, minoxidil, or other common treatments. Opinions in the conversation varied, with some skeptical of the results and others acknowledging the potential benefits of addressing scalp health and inflammation.

community How I recovered from 4+ years of severe balding ages 20-24 by dieting, lifestyle changes and ONLY using topical minoxidil

in Progress Pictures 473 upvotes 1 year ago

A user reversed severe hair loss with dieting, lifestyle changes, and topical minoxidil, highlighting reduced inflammation and body fat. The conversation debates finasteride's effectiveness and the impact of diet and lifestyle on hair health.

community I think this is my stop, gentlepeople. So long and thanks for all the data 👋

2264 upvotes 1 year ago

A user shared their successful experience with hair regrowth and transitioning from male to female using minoxidil, finasteride, Nutrafol, microneedling, and hormone replacement therapy (HRT). They expressed gratitude for the results and encouraged others to explore treatments that align with their personal goals.

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