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Using Artificial Intelligence to Develop a Multivariate Model with a Machine Learning Model to Predict Complications in Mexican Diabetic Patients without Arterial Hypertension (National Nested Case-Control Study): Metformin and Elevated Normal Blood Pressure Are Risk Factors, and Obesity Is Protective
In conclusion, the results we have obtained show that artificial intelligence is a powerful and feasible tool to use for this type of study. However, we suggest that more studies be conducted to verify and elaborate upon our findings.PMID:36846513 | PMC:PMC9949947 | DOI:10.1155/2023/8898958
Source: Cancer Control - February 27, 2023 Category: Cancer & Oncology Authors: Sergio A Zaizar-Fregoso Agustin Lara-Esqueda Carlos M Hern ández-Suarez Josuel Delgado-Enciso Arturo Garcia-Nevares Luis M Canseco-Avila Jose Guzman-Esquivel Iram P Rodriguez-Sanchez Margarita L Martinez-Fierro Gabriel Ceja-Espiritu Hector Ochoa-D íaz-L Source Type: research

Deep Lipidomics in Human Plasma - Cardiometabolic Disease Risk and Effect of Dietary Fat Modulation
Conclusions: We identified several lipids associated with cardiometabolic disease risk. A subset was beneficially altered by a dietary fat intervention, which supports substitution of dietary saturated FAs with unsaturated FAs as a potential tool for primary disease prevention.PMID:35422138 | DOI:10.1161/CIRCULATIONAHA.121.056805
Source: Cancer Control - April 15, 2022 Category: Cancer & Oncology Authors: Fabian Eichelmann Laury Sellem Clemens Wittenbecher Susanne J äger Olga Kuxhaus Marcela Prada Rafael Cuadrat Kim G Jackson Julie A Lovegrove Matthias B Schulze Source Type: research