Publications by authors named "R Iniesta"
Biological aging clocks produce age estimates that can track with age-related health outcomes. This study aimed to benchmark machine learning algorithms, including regularized regression, kernel-based methods, and ensembles, for developing metabolomic aging clocks from nuclear magnetic resonance spectroscopy data. The UK Biobank data, including 168 plasma metabolites from up to = 225,212 middle-aged and older adults (mean age, 56.
View Article and Find Full Text PDFOptimizing the Prediction of Depression Remission: A Longitudinal Machine Learning Approach.
Am J Med Genet B Neuropsychiatr Genet
October 2024
Article Synopsis
- The study analyzed how often to change antidepressant treatments and aimed to improve predictions about treatment outcomes using ongoing assessments of symptom severity.
- Participants (n=714) received either escitalopram or nortriptyline for 12 weeks, and remission was defined as a Hamilton Rating Scale score of 7 or lower.
- Results showed that predictive models based on gathered data, particularly after 4 weeks, could effectively guide treatment decisions, with AUC values indicating good discrimination for the different drugs.
Article Synopsis
- * Out of 7764 records reviewed, 100 models were included, primarily for diagnosis, with most showing high risk of bias and none currently implemented in clinical settings.
- * The study found that models incorporating clinical predictors had better performance, suggesting future research should address the limitations and aim for practical applications in treatment and outcome prediction.
Background: Substituting dietary meat and fish for mycoprotein, a fungal-derived food source rich in protein and fibre, decreases circulating cholesterol concentrations in laboratory-controlled studies. However, whether these findings can be translated to a home-based setting, and to decrease cholesterol concentrations in overweight and hypercholesterolemic individuals, remains to be established.
Objective: We investigated whether a remotely-delivered, home-based dietary intervention of mycoprotein-containing food products would affect various circulating cholesterol moieties and other markers of cardio-metabolic health in overweight (BMI >27.
The study aims to examine the effect of the world's largest school-feeding programme, the Mid-Day Meal (MDM) programme, on the changes in the underweight prevalence among school-children in India. Data from the Indian Human Development Survey (IHDS) Rounds 1 (2004-05) and 2 (2011-12) were utilized. The sample included individual-level information of children aged 6 to 9 years in IHDS-1 who then turned 13 to 16 years in IHDS-2.
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