TubIAgnosis: A machine learning-based web application for active tuberculosis diagnosis using complete blood count data.

Objective: Tuberculosis remains a major global health challenge, with delayed diagnosis contributing to increased transmission and disease burden. While microbiological tests are the gold standard for confirming active tuberculosis, many cases lack microbiological evidence, necessitating additional clinical and laboratory data for diagnosis. The complete blood count (CBC), an inexpensive and widely available test, could provide a valuable tool for tuberculosis diagnosis by analyzing disturbances in blood parameters.

Identification of early symptoms of endometriosis through the analysis of online social networks: A social media study.

Objective: Endometriosis is a complex full-body inflammation disease with an average time to diagnosis of 7-10 years. Social networks give opportunity to patient to openly discuss about their condition, share experiences, and seek advice. Thus, data from social media may provide insightful data about patient's experience.

Exploration of the core protein network under endometriosis symptomatology using a computational approach.

Background: Endometriosis is defined by implantation and invasive growth of endometrial tissue in extra-uterine locations causing heterogeneous symptoms, and a unique clinical picture for each patient. Understanding the complex biological mechanisms underlying these symptoms and the protein networks involved may be useful for early diagnosis and identification of pharmacological targets.

Methods: In the present study, we combined three approaches (i) a text-mining analysis to perform a systematic search of proteins over existing literature, (ii) a functional enrichment analysis to identify the biological pathways in which proteins are most involved, and (iii) a protein-protein interaction (PPI) network to identify which proteins modulate the most strongly the symptomatology of endometriosis.

Differential Diagnosis Between Perianal Crohn's Disease and Hidradenitis Suppurativa: A Challenging Teamwork.

Hidradenitis suppurativa (HS) is a rare, debilitating skin disease characterized by the presence of recurrent tender subcutaneous nodules that develop into abscesses and fistulae. Isolated perineal Crohn's disease (CD) is unusual, diagnosis can be difficult, and distinction from HS is a challenge for the gastroenterologist. The aim of this work was to determine the criteria that distinguish perineal CD from perineal HS.