Machine learning (ML) and deep learning (DL) as two well-known methods of artificial intelligence (AI) have emerged as powerful tools in extracting insights and patterns from vast amounts of data. In ...
For a project in Bangladesh, Prof. Mushfiq Mobarak and his team used machine-learning models applied to mobile phone records ...
A new study published in Therapeutic Innovation & Regulatory Science provides crucial insights into the design and ...
The US Food and Drug Administration (FDA) regulates medical products, including investigational drugs, biologics, and devices. To progress into clinical trials with human patients, safety and efficacy ...
Often divided into primary and secondary research, market research helps businesses identify key factors influencing their market, including the competitive landscape, target audience characteristics, ...
Introduction Anxiety disorders are among the most common co-occurring mental health conditions experienced by autistic youth. Without appropriate intervention, anxiety disorders and related ...
1 Faculty of Mathematics and Natural Sciences, Institute of Mathematics Education, University of Cologne, Cologne, Germany 2 Faculty of Education, University of Hamburg, Hamburg, Germany In this ...
April 16, 2025 - The advent of new software applications may pose challenges for collections in the course of discovery, in addition to the challenges faced at the identification and preservation ...
To enhance the efficiency of the analytical method development process, Almac Sciences worked in collaboration with S-Matrix to test the Fusion QbD® software platform. Optimisation of a peptide and ...
Chad M. Topaz and Tyrone Bass suggest five steps researchers can take to make more inclusive choices when collecting and analyzing data. Colleges and universities are investing heavily in data science ...
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