Yale Insights

How Innovations in Understanding Everyday Data Can Power More Effective Aid

For a project in Bangladesh, Prof. Mushfiq Mobarak and his team used machine-learning models applied to mobile phone records ...

AI model detects prediabetes using ECG data without need for blood tests

DiaCardia, a novel artificial intelligence model that can accurately identify individuals with prediabetes using either ...
eLife

A retrospective analysis of 400 publications reveals patterns of irreproducibility across an entire life sciences research field

The ReproSci project retrospectively analyzed the reproducibility of 1006 claims from 400 papers published between 1959 and 2011 in the field of Drosophila immunity. This project attempts to provide a ...
IEEE

Exploratory Data Analysis for AI-Based Channel Selection for Stable Coastal Maritime Wireless Communications in Emergency Situations

Abstract: Exploratory data analysis (EDA) plays an important role in various areas of research. In scenarios where reliable communication is essential, such as maritime environments, EDA can play a ...
Asianet Newsable on MSN

Best AI and data science courses for workflow automation

To help professionals build these capabilities, we have curated a list of the best applied AI and data science courses.
eLife

Association between continuous glucose monitoring-derived metrics and coronary plaque vulnerability: A retrospective exploratory analysis

The mean, variance, and autocorrelation of glucose dynamics are independently associated with coronary plaque vulnerability.
IEEE

Data-Driven Solutions for Human Trafficking: Detection and Impact Analysis Using Machine Learning

Abstract: Human trafficking is a serious problem that requires new ideas and data-driven approaches to identify and solve. In this study, we analyze large datasets to identify patterns and anomalies ...