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Integrated Chemometric and Machine Learning Analysis Identifies Peripheral Biosignatures Distinguishing Major Depressive Disorder from Bipolar Disorder: A Translational Cross-Sectional Study

Background and Objectives: Major Depressive Disorder (MDD) and Bipolar Disorder (BD) lack objective molecular stratification despite partial clinical overlap, particularly during depressive phases. This cross-sectional study explored whether coordinated peripheral biomarker patterns could be identified using an integrated multivariate analytical framework. Materials and Methods: A total of 151 participants (MDD n = 41; BD n = 40; HC (healthy controls) n = 70) were profiled for 42 blood-derive...

A novel approach for job matching and skill recommendation using transformers and the O*NET database

Today we have tons of information posted on the web every day regarding job supply and demand which has heavily affected the job market. The online enrolling process has thus become efficient for applicants as it allows them to present their resumes using the Internet and, as such, simultaneously to numerous organizations. Online systems such as Monster.com, OfferZen, and LinkedIn contain millions of job offers and resumes of potential candidates leaving to companies with the hard task to fac...

C-SHAP: A Hybrid Method for Fast and Efficient Interpretability

Model interpretability is essential in machine learning, particularly for applications in critical fields like healthcare, where understanding model decisions is paramount. While SHAP (SHapley Additive exPlanations) has proven to be a robust tool for explaining machine learning predictions, its high computational cost limits its practicality for real-time use. To address this, we introduce C-SHAP (Clustering-Boosted SHAP), a hybrid method that combines SHAP with K-means clustering to reduce e...

Leveraging knowledge graphs and LLMs for content-based reviewer assignment

The growing volume of academic submissions in recent years highlighted the need for scalable and accurate reviewer assignment systems, able to go beyond techniques based on manual processes and basic keyword matching. We propose a novel pipeline that integrates Knowledge Graphs (KGs) and Large Language Models (LLMs) to automate and enhance the reviewer assignment process. Our method extracts meaningful representations of papers and reviewer expertise using Open Information Extraction, the Com...

Chlorella vulgaris lipid extraction side-stream enhances growth and protein enrichment in novel food Lemna minor (duckweed)

Introduction: The transition toward sustainable food systems requires strategies that simultaneously reduce bioprocess residues and enhance nutritional quality. Microalgal biorefineries generate substantial polar side-streams after lipid extraction, which remain largely underutilized despite their high nutrient content.Methods: Here, we evaluated the polar side-stream generated during lipid extraction of Chlorella vulgaris, representing the non-lipid and water-soluble fraction enriched in sol...

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