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Systemic lupus erythematosus (SLE) is the tenth leading cause of death in females 15-24 years old in the US. The diversity of symptoms and immune pathways expressed in SLE patients causes difficulties in treating SLE as well as in new…

Genomics · Quantitative Biology 2020-11-11 Aditi Deokar

Oxidation-associated malondialdehyde (MDA) modification of proteins can generate immunogenic neo-epitopes that are recognized by autoantibodies. In health, IgM antibodies to MDA-adducts are part of the natural antibody pool, while elevated…

Systemic lupus erythematosus (SLE) is a complex heterogeneous disease with many manifestational facets. We propose a data-driven approach to discover probabilistic independent sources from multimodal imperfect EHR data. These sources…

In analysis of randomized controlled trials (RCTs) with patient-reported outcome measures (PROMs), Item Response Theory (IRT) models that allow for heterogeneity in the treatment effect at the item level merit consideration. These models…

Methodology · Statistics 2024-06-17 Joshua B. Gilbert , Fredrik Hieronymus , Elias Eriksson , Benjamin W. Domingue

Slow wave sleep duration and spectral abnormalities are related to both epilepsy and depression, but it is unclear how depressive symptoms in patients with epilepsy are affected by slow wave sleep duration and clinical factors, and how the…

Neurons and Cognition · Quantitative Biology 2023-11-09 Stefanía Eyjolfsdóttir , Eugen Trinka , Yvonne Höller

Examining elevated rates of systemic lupus erythematosus in African-American women from perspectives of immune cognition suggests the disease constitutes an internalized physiological image of external structured psychosocial stress, a…

Neurons and Cognition · Quantitative Biology 2007-05-23 Rodrick Wallace

Existing depression screening predominantly relies on standardized questionnaires (e.g., PHQ-9, BDI), which suffer from high misdiagnosis rates (18-34% in clinical studies) due to their static, symptom-counting nature and susceptibility to…

Neurons and Cognition · Quantitative Biology 2025-04-24 Zhenguang Zhong , Zhixuan Wang

Depression poses significant challenges to patients and healthcare organizations, necessitating efficient assessment methods. Existing paradigms typically focus on a patient-doctor way that overlooks multi-role interactions, such as family…

Human-Computer Interaction · Computer Science 2026-03-10 Zhiyuan Zhou , Jilong Liu , Sanwang Wang , Shijie Hao , Yanrong Guo , Richang Hong

Advances in large language models (LLMs) have enabled a wide range of applications. However, depression prediction is hindered by the lack of large-scale, high-quality, and rigorously annotated datasets. This study introduces DepressLLM,…

Computation and Language · Computer Science 2025-08-13 Sehwan Moon , Aram Lee , Jeong Eun Kim , Hee-Ju Kang , Il-Seon Shin , Sung-Wan Kim , Jae-Min Kim , Min Jhon , Ju-Wan Kim

Depressive disorder is one of the most prevalent mental illnesses among the global population. However, traditional screening methods require exacting in-person interviews and may fail to provide immediate interventions. In this work, we…

Computers and Society · Computer Science 2020-10-30 Boyu Zhang , Anis Zaman , Rupam Acharyya , Ehsan Hoque , Vincent Silenzio , Henry Kautz

Chronic stress is a risk factor for cognitive decline and illness, yet reliable individual markers remain limited. We tested whether two single channel high dynamic range EEG biomarkers, ST4 and T2, index stress responses by linking neural…

Neurons and Cognition · Quantitative Biology 2025-10-17 N. B. Maimon , Ganit Baruchin , Itamar Grotto , Lior Molcho , Nathan Intrator , Talya Zeimer , Ofir Chibotero , Nardeen Murad , Yori Gidron , Efrat Danino

Background: Reliable prediction of clinical progression over time can improve the outcomes of depression. Little work has been done integrating various risk factors for depression, to determine the combinations of factors with the greatest…

Machine Learning · Statistics 2023-07-06 Runa Bhaumik , Jonathan Stange

Depression, anxiety, and stress are widespread mental health concerns that increasingly drive individuals to seek information from Large Language Models (LLMs). This study investigates how eight LLMs (Claude Sonnet, Copilot, Gemini Pro,…

Computation and Language · Computer Science 2025-08-18 Arya VarastehNezhad , Reza Tavasoli , Soroush Elyasi , MohammadHossein LotfiNia , Hamed Farbeh

Influenza A viruses (IAVs) evolve antigenically at a pace that requires frequent vaccine updates, yet the haemagglutination inhibition (HI) assays used to quantify antigenicity are labor-intensive and unscalable. As a result, genomic data…

Machine Learning · Computer Science 2025-12-08 Yanhua Xu

Depression, a prevalent mental health disorder impacting millions globally, demands reliable assessment systems. Unlike previous studies that focus solely on either detecting depression or predicting its severity, our work identifies…

While handwriting has traditionally been studied for character recognition and disease classification, its potential to reflect day-to-day physiological fluctuations in healthy individuals remains unexplored. This study examines whether…

Human-Computer Interaction · Computer Science 2026-04-07 Chisa Tanaka , Andrew Vargo , Anna Scius-Bertrand , Andreas Fischer , Koichi Kise

Primary Immune thrombocytopenia (ITP) is a rare autoimmune disease characterised by immune-mediated destruction of peripheral blood platelets in patients leading to low platelet counts and bleeding. The diagnosis and effective management of…

Machine Learning · Computer Science 2024-06-03 Haroon Miah , Dimitrios Kollias , Giacinto Luca Pedone , Drew Provan , Frederick Chen

Prior clinical psychology research shows that Western individuals with depression tend to report psychological symptoms, while Eastern individuals report somatic ones. We test whether Large Language Models (LLMs), which are increasingly…

Computation and Language · Computer Science 2025-08-06 Shintaro Sakai , Jisun An , Migyeong Kang , Haewoon Kwak

Objectives: This study examines human Photoplethysmogram (PPG) along with Electrocardiogram (ECG) signals to study cardiac autonomic imbalance in epileptic seizures. The significance and the prevalence of changes in PPG morphological…

Signal Processing · Electrical Eng. & Systems 2019-12-12 Seyede Mahya Safavi , Ninaz Valisharifabad , Robert Sabino , Hsinchung Chen , Ali HeydariGorji , Demi Tran , Jack Lin , Beth Lopour , Pai H. Chou

Mental health disorders remain among the leading cause of disability worldwide, yet conditions such as depression, anxiety, and Post-Traumatic Stress Disorder (PTSD) are frequently underdiagnosed or misdiagnosed due to subjective…

Computation and Language · Computer Science 2025-10-17 Jianfeng Zhu , Julina Maharjan , Xinyu Li , Karin G. Coifman , Ruoming Jin
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