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Category:All HeadlinesWorld & GeopoliticsMarkets & EconomyTech & AIPoliticsSearch results for: "Fat Mass Prediction Model" (30 stories)

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Global external validation of fat mass prediction models for adults
Lead StoryNaturegeneral
Sep 11

Global external validation of fat mass prediction models for adults

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBXODVBZ0RLSEwwUW02cGJRUkdwWmlnOXR1U0xhTlB4V2ptaHc3QzFTZ0dHWDhncVZYQkI1U3BZQkFYZk9VZklBMWs2aXJEV2ttNkV6X2FjUTdlRGJuX0ZF?oc=5" target="_blank">Global external validation of fat mass prediction models for adults</a>  <font color="#6f6f6f">Nature</font>

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Search Results for "Fat Mass Prediction Model"

Updated every 3 minutes via FreeNewsApi, GNews, Currents API & Google News

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Fat Mass Prediction Models Face a Global Stress Test Across 30 Countries
Bioengineer.orgworld

Fat Mass Prediction Models Face a Global Stress Test Across 30 Countries

<a href="https://news.google.com/rss/articles/CBMingFBVV95cUxNSWJtTWlfeXRYN2x1T0lFZU1NU1RRdUpwd0hMdWdaQmJTd240aFhPQnFJb2dnbE9LZjdvZHY0cXJyVEN2YmVwaDRkWGVKbzY4TkF5VU5CLXV5M1FXbHh3c0xBTjM5TFVmclJLYjdKZEZHRkFfSkJRUGNBZnZIU19oNmQwWVplM0lWWVNxcHpDUDRlY0ItS05LM3Vjd2dWZw?oc=5" target="_blank">Fat Mass Prediction Models Face a Global Stress Test Across 30 Countries</a>  <font color="#6f6f6f">Bioengineer.org</font>

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Construction of a prediction model for sarcopenic obesity based on machine learning
Frontiersgeneral

Construction of a prediction model for sarcopenic obesity based on machine learning

<a href="https://news.google.com/rss/articles/CBMilgFBVV95cUxQY0R1TVE5aWpidUYyZTFpS2x4SmY0bmE3OEdLb1FCOVlkMmlONDBzWVJHUzZna0owZ0FXdWo3UGlBdDRXdlM0b29jRVpNQ0NuZWZFSUNIRm1hZG1Pbkg3S0JkNzhWajFoTHRnbUVUZEtaUTVfX19OenFLdTRBbEpIVDJQNVVqSWtRX0FSaVEyN1JxU1FvZ2c?oc=5" target="_blank">Construction of a prediction model for sarcopenic obesity based on machine learning</a>  <font color="#6f6f6f">Frontiers</font>

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Anthropometric prediction models of body composition in 3 to 24month old infants: a multicenter international study
Naturegeneral

Anthropometric prediction models of body composition in 3 to 24month old infants: a multicenter international study

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFB2SGNzZlgzTUlQb1JMckIxMnpxZ0hkU2dxX2xaaWp5QVdtWW95a2REdGU2bFZjZmhfYWtmR2xXRG82NGpoUTltdXl3WWN4RkhxQzlpQXhsbWJwRUZjcTVr?oc=5" target="_blank">Anthropometric prediction models of body composition in 3 to 24month old infants: a multicenter international study</a>  <font color="#6f6f6f">Nature</font>

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Development and validation of a prediction equation for body fat percentage from measured BMI: a supervised machine learning approach
Naturegeneral

Development and validation of a prediction equation for body fat percentage from measured BMI: a supervised machine learning approach

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1IeUlHdEdub3hLa3R1WnJ4VVp3dVc5WWFxNkpzMnZyWHRuNWgydVZrTXhTdU5GR0M1cDlsMEpWbkhZNGttWHRzVzRPUWNDSWN5SWR2Z0I4NFJWLVhmMEFN?oc=5" target="_blank">Development and validation of a prediction equation for body fat percentage from measured BMI: a supervised machine learning approach</a>  <font color="#6f6f6f">Nature</font>

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Development and validation of anthropometric-based fat-mass prediction equations using air displacement plethysmography in Mexican infants
Naturetech

Development and validation of anthropometric-based fat-mass prediction equations using air displacement plethysmography in Mexican infants

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5XU0h6Mm5sdjFjV1FkUW9hRWp6Zjc2c1VGcFRaZGJfMW43eDNURmVPU0VDYkFSSHcwVGVodlJsNUFRYi1Wa2dLR2tUR1YzVWpQZ2gtQzBjaFhwaTNLSElB?oc=5" target="_blank">Development and validation of anthropometric-based fat-mass prediction equations using air displacement plethysmography in Mexican infants</a>  <font color="#6f6f6f">Nature</font>

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Varying optimal power for height-standardisation of childhood weight, fat mass and fat-free mass across the obesity epidemic | International Journal of Obesity
Naturegeneral

Varying optimal power for height-standardisation of childhood weight, fat mass and fat-free mass across the obesity epidemic | International Journal of Obesity

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1aVVNsOEN5azJtbldQNjIwVVl4STVtZzdGeHVWQldqbzZrbVNMb2g1ZDRFWV9wdFp1SUdUZnJvY2gxeXNrblhMLTNDVklFc04tb1VDQjB0RDNESUl6dktN?oc=5" target="_blank">Varying optimal power for height-standardisation of childhood weight, fat mass and fat-free mass across the obesity epidemic | International Journal of Obesity</a>  <font color="#6f6f6f">Nature</font>

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Total and regional appendicular skeletal muscle mass prediction from dual-energy X-ray absorptiometry body composition models
Naturegeneral

Total and regional appendicular skeletal muscle mass prediction from dual-energy X-ray absorptiometry body composition models

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE03d2xmaEtkRDJkVmU0eHBSM3o3Nnk0OTRvT3RMRUdNa2haY2ZwTVRqazc5RlJQM094azRzYWIwdjdpV0VjdmM3T2NSUW0yY21qczBrZEJvNHR2VUF4YU9R?oc=5" target="_blank">Total and regional appendicular skeletal muscle mass prediction from dual-energy X-ray absorptiometry body composition models</a>  <font color="#6f6f6f">Nature</font>

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Equations for smartphone prediction of adiposity and appendicular lean mass in youth soccer players
Naturegeneral

Equations for smartphone prediction of adiposity and appendicular lean mass in youth soccer players

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9BYnY2aVdoZDFWQ1RzQUlEOThKUE84RGVVbEFjLTVjZ0NabGRCcEFJWEQxcTg1VUdfLV84dVEwWEthd1Z3RFJvOU43NTBLNVFIcDlqYmJQdHFvS1llVVdJ?oc=5" target="_blank">Equations for smartphone prediction of adiposity and appendicular lean mass in youth soccer players</a>  <font color="#6f6f6f">Nature</font>

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Enhanced diabetes prediction using CTGAN-MLP approach on body composition data
Naturegeneral

Enhanced diabetes prediction using CTGAN-MLP approach on body composition data

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5qTUVWQXNMcG44Vzk4U1pJZ01kRHVaQzY3Vkp0V09OTFJtM0luT1hORi1hbVJ5d1N5UlJwSFJLYzJuOGpCY0ppWUJlOGdCZXZjZmR4Tlh4VUh4QzBHbFY0?oc=5" target="_blank">Enhanced diabetes prediction using CTGAN-MLP approach on body composition data</a>  <font color="#6f6f6f">Nature</font>

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Prediction of fat-free mass in young children using bioelectrical impedance spectroscopy
Natureworld

Prediction of fat-free mass in young children using bioelectrical impedance spectroscopy

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9RYVlqcHk3VGlPX2dZcWlmVTMyVjdYQ3Vrc05VQVdNRUxoUzdxaVlmUTlsaEdqZnk1bmhvb0MwMlFBWUVFZS1Xcjh5Y0tmN1hZWm1aUUg1czI3Nk5LOEtn?oc=5" target="_blank">Prediction of fat-free mass in young children using bioelectrical impedance spectroscopy</a>  <font color="#6f6f6f">Nature</font>

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Prediction of total and regional body composition from 3D body shape
Naturegeneral

Prediction of total and regional body composition from 3D body shape

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5KWVJSQXliT3RwdUZ4S2xWTmhWR1ltdHVFblpEeV96SWVrWnBrN2RCOGo4WnNIcUEtNFYwTzZBbWZVMDl4R3NoenVaYWhGOGRoZ1o3V19hNXZXVk1BU3lF?oc=5" target="_blank">Prediction of total and regional body composition from 3D body shape</a>  <font color="#6f6f6f">Nature</font>

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Waist-circumference-to-height-ratio had better longitudinal agreement with DEXA-measured fat mass than BMI in 7237 children | Pediatric Research
Naturetech

Waist-circumference-to-height-ratio had better longitudinal agreement with DEXA-measured fat mass than BMI in 7237 children | Pediatric Research

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5pY3p1WGVSNk9RSGRUOFE4c0dZZUJ0OUFiaWQ3eTNWeFFYVU5TZm5TY2U0Y05xa0xibGFWbG9SUXBkQUVBbGtZRE5qX3pyMkVmcWJPdlV6Q3Y4M3FGdkFr?oc=5" target="_blank">Waist-circumference-to-height-ratio had better longitudinal agreement with DEXA-measured fat mass than BMI in 7237 children | Pediatric Research</a>  <font color="#6f6f6f">Nature</font>

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Longitudinal prediction of BMI using explainable AI: integrating polygenic scores, maternal, early-life and familial factors
Naturetech

Longitudinal prediction of BMI using explainable AI: integrating polygenic scores, maternal, early-life and familial factors

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1sZ3JkMDJieVVvQ3lHY09BdXV4OTU0UFpWeVNtdkVVNU5KOVF5N0tZX0ttT1NvUDlBQTQtRTFaOXVkNVR3X0lFYkllQ20yUkFZekJhUkx2SFhPdVVHNTJR?oc=5" target="_blank">Longitudinal prediction of BMI using explainable AI: integrating polygenic scores, maternal, early-life and familial factors</a>  <font color="#6f6f6f">Nature</font>

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Machine learning allows robust classification of visceral fat in women with obesity using common laboratory metrics
Naturegeneral

Machine learning allows robust classification of visceral fat in women with obesity using common laboratory metrics

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5zaDlMX3ZaaTRjNEcxaUNzOThsM0ZDYmU2SkRCYzByRnM4RmhybTZrYVB3QjF2VXJlSXdhMHJubUJtUlBnclJ3azB0WXJiT3p5akR3eE5RaDBXZGN2S1U4?oc=5" target="_blank">Machine learning allows robust classification of visceral fat in women with obesity using common laboratory metrics</a>  <font color="#6f6f6f">Nature</font>

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Relative fat mass, a new index of adiposity, is strongly associated with incident heart failure: data from PREVEND
Naturetech

Relative fat mass, a new index of adiposity, is strongly associated with incident heart failure: data from PREVEND

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1WaEpDV1VjZUNwNTdSQlNEWjNCRWdCUkoxbkxqdzBjMWQ5b25zTXlwQ2hWOXo3a2tjaGZ0VWwzcGtoN1dDc0hudmt5bjVhazFvZ19tQUVYWE02QlBaTnhB?oc=5" target="_blank">Relative fat mass, a new index of adiposity, is strongly associated with incident heart failure: data from PREVEND</a>  <font color="#6f6f6f">Nature</font>

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Machine learning-based prediction of respiratory depression during sedation for liposuction
Naturegeneral

Machine learning-based prediction of respiratory depression during sedation for liposuction

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFA5bGNTWkk3Qk1MamRCSlpDUnBZQ3h5N1RUS0NMcGFtamdBRERKVGRmcC02M0RmVjEzalNYX2FndVNzZ1IyYWJKbFlQb0JkSVBhZzNkQ3Ezd3c3Vjc3cVVJ?oc=5" target="_blank">Machine learning-based prediction of respiratory depression during sedation for liposuction</a>  <font color="#6f6f6f">Nature</font>

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Normalized sensitivity of multi-dimensional body composition biomarkers for risk change prediction
Naturegeneral

Normalized sensitivity of multi-dimensional body composition biomarkers for risk change prediction

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5aY19teGtLcDRrM3Jqc2kwSEFZNUttWVQ5OW94cnRKbHBLU2NPV3dkR1dkUF9QdHdtbTZXWGRmSGxxNW4xVXM0TEF5NHN0UTR2bk5zNnpjb0FBUVg0bGNB?oc=5" target="_blank">Normalized sensitivity of multi-dimensional body composition biomarkers for risk change prediction</a>  <font color="#6f6f6f">Nature</font>

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Body composition predicts hypertension using machine learning methods: a cohort study
Naturegeneral

Body composition predicts hypertension using machine learning methods: a cohort study

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBaR0s2eW1NSG1JRUw4SUNZSUJqelJTWl9tanhleDJ6dnBfTFJBbVpGMGdrc1ZGajhrYWJZWHlmUXVVeWlSWGVXSzBCY3V6N0FjU3VQMVR4YTVJNzFxWEJV?oc=5" target="_blank">Body composition predicts hypertension using machine learning methods: a cohort study</a>  <font color="#6f6f6f">Nature</font>

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Machine learning prediction of hepatic steatosis using body composition parameters: A UK Biobank Study
Naturemarkets

Machine learning prediction of hepatic steatosis using body composition parameters: A UK Biobank Study

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1DVV9TbVpoZ0xqbjNXTmhzR3NacEtyVlRoTWx5QnlzT19GT21IOGhpMVlVZXZwWkNoT0Z4d085bEtPbjQzems3YzQ1d3plLXo2ZjBsa3RZVW5sdlJYOTdR?oc=5" target="_blank">Machine learning prediction of hepatic steatosis using body composition parameters: A UK Biobank Study</a>  <font color="#6f6f6f">Nature</font>

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Relative fat mass (RFM) as a new estimator of whole-body fat percentage ─ A cross-sectional study in American adult individuals | Scientific Reports
Naturegeneral

Relative fat mass (RFM) as a new estimator of whole-body fat percentage ─ A cross-sectional study in American adult individuals | Scientific Reports

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5DTmV4RHRQZDlIUXh2a0MxZllHVzVhaUk4OFNLRUduYktrcjZsUVNvS3R3ZFVHYUdCUFRJYXl2Vlp4V3hjRUVrNVhEd2U4Vi1FOTAwWnRmX2xpWHFMWTdn?oc=5" target="_blank">Relative fat mass (RFM) as a new estimator of whole-body fat percentage ─ A cross-sectional study in American adult individuals | Scientific Reports</a>  <font color="#6f6f6f">Nature</font>

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Supervised machine learning algorithms for the classification of obesity levels using anthropometric indices derived from bioelectrical impedance analysis
Naturegeneral

Supervised machine learning algorithms for the classification of obesity levels using anthropometric indices derived from bioelectrical impedance analysis

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5BbVNBYXZWNC1pa3o1WjNrNEZQa2xpZURwMjR4bE1rdnhhNi1NVGhPa19KTFpUb2h5QVh3NTJYeWhONGdwUjVCX0c2QTFnaHg2dkFrTUtvNUlhYUEwdlFB?oc=5" target="_blank">Supervised machine learning algorithms for the classification of obesity levels using anthropometric indices derived from bioelectrical impedance analysis</a>  <font color="#6f6f6f">Nature</font>

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Prediction of fat mass from anthropometry at ages 7 to 9 years in Samoans: a cross-sectional study in the Ola Tuputupua’e cohort | European Journal of Clinical Nutrition
Natureworld

Prediction of fat mass from anthropometry at ages 7 to 9 years in Samoans: a cross-sectional study in the Ola Tuputupua’e cohort | European Journal of Clinical Nutrition

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE0wQ1l3SXN0MlpKakxsd3dDdVZrTkloTWJRZmYwZEdIWGZTbDNmbU83ZkRjRXdjVWZfZTREYlNmYk94OTFURlFQVzgwUVk4YlhWdlpHYnFZVW5jYkFuSzVr?oc=5" target="_blank">Prediction of fat mass from anthropometry at ages 7 to 9 years in Samoans: a cross-sectional study in the Ola Tuputupua’e cohort | European Journal of Clinical Nutrition</a>  <font color="#6f6f6f">Nature</font>

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Prenatal adipose tissue estimation using early second trimester anthropometry
Naturegeneral

Prenatal adipose tissue estimation using early second trimester anthropometry

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5fLW8zenpLNGk2TnBWYTBUX3c4aG9tS3pSWlg3eldSYkt1YzhndmNhaE9EbUhYWm4zSlB2Z3B6ZXBhdGpqclhSUGpnNEJaYlM2c2lpelhadXd4ZExrZEhN?oc=5" target="_blank">Prenatal adipose tissue estimation using early second trimester anthropometry</a>  <font color="#6f6f6f">Nature</font>

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Development and validation of a new anthropometric equation to predict skeletal muscle mass in a heterogeneous caucasian population
Naturegeneral

Development and validation of a new anthropometric equation to predict skeletal muscle mass in a heterogeneous caucasian population

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5xUGtlYi1ROWRpV1ZUei1YdU93T1h3TVVuRzdwclBWMlN5cjVrLTJOeEsyMXZ6M2NDWWM4NmUyVVNEcVpjOE1RZG5SMHBidEhWaEdjc29pSlphSXpzTDlV?oc=5" target="_blank">Development and validation of a new anthropometric equation to predict skeletal muscle mass in a heterogeneous caucasian population</a>  <font color="#6f6f6f">Nature</font>

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CT-based muscle and adipose measurements predict prognosis in patients with digestive system malignancy
Naturegeneral

CT-based muscle and adipose measurements predict prognosis in patients with digestive system malignancy

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE05NlRLdXg2Q2tSSGRVQmM2aUdNVHpILVRVTnZ5eVJwQnRiZEtodTFpUjE5UFo0c1FSQmM0ZVhma2lzZDZmUWRFN2REa2h6TjV6TTg1dXJLMUtDckE5dFI0?oc=5" target="_blank">CT-based muscle and adipose measurements predict prognosis in patients with digestive system malignancy</a>  <font color="#6f6f6f">Nature</font>

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Fat mass index as a screening tool for the assessment of non-alcoholic fatty liver disease
Naturegeneral

Fat mass index as a screening tool for the assessment of non-alcoholic fatty liver disease

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE02ZS16a2pOdGNoQkFZLXo4UzRrYWo4YTVic0RyaFVSc21qQmNjYURKV08xcmhRZXYybjE4QzlRTmdqZnJSamtFZ0hOWWR3OUdESWRUSE9qZVNfTllvYmtn?oc=5" target="_blank">Fat mass index as a screening tool for the assessment of non-alcoholic fatty liver disease</a>  <font color="#6f6f6f">Nature</font>

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Prediction model and assessment of malnutrition in patients with stable chronic obstructive pulmonary disease
Naturegeneral

Prediction model and assessment of malnutrition in patients with stable chronic obstructive pulmonary disease

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1NLUdrTjc1TlNVS0psdEFGVHBXc0ROckhVX3luRTRZSmhKZVl6ekhid2ptSC12dGE4TERHZGhQbEJxR3BOTWh1NDJpcjc2eTJSRnVVVDlGMTdtX1RZNWsw?oc=5" target="_blank">Prediction model and assessment of malnutrition in patients with stable chronic obstructive pulmonary disease</a>  <font color="#6f6f6f">Nature</font>

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Application of machine learning in predicting non-alcoholic fatty liver disease using anthropometric and body composition indices
Naturegeneral

Application of machine learning in predicting non-alcoholic fatty liver disease using anthropometric and body composition indices

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFAxTFd0alREM2NFcGVaX0hIVm9kSVZjVGlKaG1qcGo3elZkVHV6b2RnY0FGWm9zNEw4V2R2RWExTmh1WUxZYmdyRFp4bVlsQk1HNlloZU8yWG10eElPZ2Y4?oc=5" target="_blank">Application of machine learning in predicting non-alcoholic fatty liver disease using anthropometric and body composition indices</a>  <font color="#6f6f6f">Nature</font>

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Relative fat mass and prediction of incident atrial fibrillation, heart failure and coronary artery disease in the general population | International Journal of Obesity
Naturetech

Relative fat mass and prediction of incident atrial fibrillation, heart failure and coronary artery disease in the general population | International Journal of Obesity

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1VeF9Wd1NRbFlwTnR5a0xLNlZfSEdrdVlXamZqRFoteXZwMHQ3MWc3VGh0X0NaOGhDZFZiUVE4T3N2QVZ2ejRDV2hMTENZbUhCTEtHTUc4aUM2UUFhY09z?oc=5" target="_blank">Relative fat mass and prediction of incident atrial fibrillation, heart failure and coronary artery disease in the general population | International Journal of Obesity</a>  <font color="#6f6f6f">Nature</font>

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"Fat Mass Prediction Model" — Live Google News Trends & Headlines