📄 medicine

RarePathAI: Predictive Analytics to Identify Rare Diseases in Real-World Data

RarePathAI is a novel framework that leverages graph neural networks on U.S. administrative claims data and rare disease ontologies to achieve high-accuracy predictive analytics for early rare disease diagnosis, with future plans to integrate AI agents for real-time, explainable clinical decision support.

Pierantonio Russo, Ramaa Nathan, Alex Moore, Qian Zhu, Eric W.K. Sid, Alice Chen Grady, Oodaye Shukla2026-06-28
📄 medicine

Needs of ICU Transitional care from the perspectives of patients, family members, and nurses: a Q methodology study

This Q methodology study identifies and compares the distinct yet overlapping priorities for ICU transitional care among patients, family members, and nurses, revealing that while all groups value needs response, patients focus on condition reassurance, families on condition confirmation, and nurses on pain control.

Chen Wang, Hang Wang, Yuanyuan Yin, Fei Yanng, Meng Xiu, Jianhong Lv, Weiying Zhang2026-06-28
📄 medicine

Serratus anterior plane block in pain management after thoracotomy surgery: A randomized single-blinded clinical trial and literature review

This randomized single-blinded clinical trial demonstrates that adding a serratus anterior plane block to standard analgesia significantly reduces acute post-thoracotomy pain scores at 6, 12, and 24 hours without serious side effects compared to conservative pain management alone.

Reza Eslamian, Yaser Ftouni, Tahereh Sorbi, Karim Nasseri, Narjes Mohammadzadeh, Alireza Mirsharifi, Amir Ehtemami2026-06-28
📄 medicine

Medicinal plants proposed for the treatment of type 2 diabetes: an ethnobotanical study of twenty-five markets in Burundi

This ethnobotanical study conducted across 25 markets in Burundi documents 121 plant species traditionally used by 64 practitioners to treat type 2 diabetes, highlighting key families like Asteraceae and Fabaceae, dominant usage of leaves and bark in decoctions, and the potential of these locally sourced remedies for developing affordable phytomedicines.

Anatole Bukuru, Jérémie Ngezahayo, Emmanuel Banzubaze, Frédéric Nsabiyumva, Pierre Duez, Jacques Nkengurutse2026-06-28
📄 medicine

The association between family resilience and learned helplessness among hospitalized older adults with chronic multimorbidity in Xinjiang, China: A latent profile and computer-simulated network analysis

This study identifies three distinct family resilience profiles among hospitalized older adults with chronic multimorbidity in Xinjiang, China, and utilizes network analysis to reveal that learned helplessness symptom structures and optimal intervention targets vary significantly across these subgroups, supporting the need for personalized, resilience-tailored care.

Wei-Long Wang, Zhengwei Luo, Runjia Zhang, Yongle Pei, Jiaqi Deng, Xuexia Yang, Xiaoxuan He, Jingwen Cai, Bo Zhang, Shuf (…)2026-06-28
📄 medicine

Adherence to Antipsychotics and Job Acquisition in Patients with First-episode Schizophrenia: A 10-year Follow-up Using the Korean National Health Information Database

This 10-year follow-up study using the Korean National Health Information Database found that high adherence to antipsychotic medication (PDC ≥ 0.8) significantly increases the likelihood of job acquisition among individuals with first-episode schizophrenia, particularly in men, supporting the integration of medication adherence management with vocational support for functional recovery.

HyeYoung Kwon, Jinyeong Bae, Yongpyo Lee, Rachel F. Rodgers, Eric Bui, Yongjoo Kim2026-06-28
📄 medicine

Evaluation of Substitution of Total Bilirubin by Direct Bilirubin in Prediction of Mortality Models in patients with acute and Acute-on-chronic liver failure

This prospective observational study demonstrates that substituting total bilirubin with direct bilirubin in mortality prediction models (such as AARC, MELD, and MELD-Na) significantly enhances prognostic accuracy for patients with acute-on-chronic liver failure and offers comparable benefits for those with acute liver failure.

Hanaa Badran, Maha Elsabaawy, Samar Ghanem, Sania Yahia, Mahmoud Mansour, Marwa Elfayoumy2026-06-28
📄 medicine

Application of Total Bilirubin to Albumin Ratio in Predicting In-Hospital Mortality of Acute Pancreatitis and Construction and Validation of Machine Learning Prediction Models: A Multi-Database Study

This multi-database study demonstrates that the total bilirubin to albumin ratio (TBAR) is an independent risk factor for in-hospital mortality in acute pancreatitis patients and that a support vector machine model integrating TBAR, age, and SOFA score provides optimal predictive performance.

Rui Zhang, Zheng Xu, Hongwei Li, Qi Han, Guosheng Wang2026-06-28