DIAGNOSIS OF DYSPLASIA IN UPPER GASTRO-INTESTINAL TRACT BIOPSIES THROUGH DIGITAL MICROSCOPY


Developing and validating a machine learning-based model for predicting in-hospital mortality among ICU-admitted heart failure patients: A study utilizing the MIMIC-III database

Background Although the assessment of in-hospital mortality risk among heart failure patients in the intensive care unit (ICU) is crucial for clinical decision-making, there is currently a lack of comprehensive models accurately predicting their prognosis.Machine learning techniques offer a powerful means to identify potential risk factors and pred

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BOD5 prediction using machine learning methods

Biological oxygen demand (BOD5) is an indicator used to monitor water quality.However, the standard process of measuring BOD5 is time consuming and could delay crucial mitigation works in the event of pollution.To solve this problem, this study employed multiple machine learning (ML) methods such as random forest (RF), support vector regression (SV

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A genome-wide copy number variant study of suicidal behavior.

Suicide and suicide attempts are Overview of animal infectious disease situation in the Republic of Dagestan in 2023 complex behaviors that result from the interaction of different factors, including genetic variants that increase the predisposition to suicidal behaviors.Copy number variations (CNVs) are deletions or duplications of a segment of D

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Proxies for Success: How the Application Process Correlates to PhD Pursuit for a Small Diversity Research Program

Science, technology, engineering, and mathematics (STEM) diversity research programs seek to make progress in increasing the number of underrepresented students that pursue STEM at the highest degree levels.Yet few programs have outlined their path to help students achieve the STEM PhD.Our program, Opportunities in Genomics Research (OGR), showed s

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