Volume 2, Issue 2


Volume 2, Issue 2 (June, 2026) – 3 articles
Citations: Crossref logo 0,   0   |   Viewed: 1343, Download: 501

Table of Contents

Open Access | Research Article | 29 June 2026
A Comparative Analysis of the Gene Sequences, Structural Models and Identification of Candidate Epitope of Dengue Envelope Protein Domain III
Biomedical Informatics and Smart Healthcare | Volume 2, Issue 2: 98-107, 2026 | DOI: 10.62762/BISH.2026.340536
Abstract
Dengue is a major public health concern in tropical and subtropical regions worldwide. The World Health Organization (WHO) classifies dengue as an endemic disease in more than 125 countries, with approximately 75% of the affected population residing in the Asia-Pacific region, including the Philippines. This study aimed to compare and analyze the four-dengue virus (DENV) serotypes in terms of gene and protein sequence alignment, structural modeling, and identification of candidate epitopes within envelope protein domain III (E-DIII). The DENV E-DIII region plays a critical role in host-cell interaction and is considered a promising immunogenic target for the development of dengue subunit vac... More >

Graphical Abstract
A Comparative Analysis of the Gene Sequences, Structural Models and Identification of Candidate Epitope of Dengue Envelope Protein Domain III
Open Access | Research Article | 27 June 2026
ANFIS-PSO: A Particle Swarm Optimized Adaptive Neuro-Fuzzy Inference System for Early Diagnosis and Risk Stratification of Chronic Kidney Disease
Biomedical Informatics and Smart Healthcare | Volume 2, Issue 2: 86-97, 2026 | DOI: 10.62762/BISH.2026.692582
Abstract
Chronic Kidney Disease (CKD) affects 697.5 million people globally, with \~{}115 million in India. Early detection is clinically challenging as the disease remains asymptomatic through stages 1–3, particularly in resource-limited rural settings like Madhya Pradesh. While high-accuracy black-box models (SVM, Random Forest, DNN) achieve 91.5–98% accuracy on the UCI CKD benchmark, they lack interpretability—creating a Transparency Gap that hinders clinical adoption. This paper proposes ANFIS-PSO, a Particle Swarm Optimization-tuned Adaptive Neuro-Fuzzy Inference System for early CKD diagnosis. A five-stage pipeline incorporating KNN imputation and Min-Max normalization was applied to the... More >

Graphical Abstract
ANFIS-PSO: A Particle Swarm Optimized Adaptive Neuro-Fuzzy Inference System for Early Diagnosis and Risk Stratification of Chronic Kidney Disease
Open Access | Research Article | 27 May 2026
IRENIC: A Prototype and a Review for Developing a Non-invasive Device Revolutionizing the Neuro-diagnostics and Cognitive Therapy
Biomedical Informatics and Smart Healthcare | Volume 2, Issue 2: 79-85, 2026 | DOI: 10.62762/BISH.2026.779754
Abstract
Mental health disorders pose a significant global burden, yet integrated non-invasive tools for simultaneous neurodiagnosis and therapy remain limited. This paper introduces IRENIC, a wearable prototype integrating an EEG skull cap for real-time brain monitoring, pre-stored SPECT/PET databases, AR visualization, psychometric tools, AI algorithms — including CNNs and reinforcement learning — that correlate EEG with neuroimaging data including brain stimulation games, cognitive therapy, calming music, and yoga mudras. The validated conceptual design enables EEG acquisition, AI-powered multi-modal correlation, psychometric evaluation, and closed-loop therapy delivery within a single platfor... More >

Graphical Abstract
IRENIC: A Prototype and a Review for Developing a Non-invasive Device Revolutionizing the Neuro-diagnostics and Cognitive Therapy