Computational Biology and Bioinformatics
Sickle cell disease (SCD) remains a major global health challenge, with no widely accessible targeted cure and most existing therapies focused on symptom management or partial disease modifi…
Computational Biology and Bioinformatics
Pancreatic ductal adenocarcinoma (PDAC) survives nutrient stress by rewiring metabolism. Prior ketogenic-diet (KD) evidence indicates increased TCA-cycle activity and higher glutamine (GLN)…
Computational Biology and Bioinformatics
Autism spectrum disorder (ASD) is a neurodevelopmental condition affecting many areas of life. Resting-state functional MRI (rs-fMRI) measures functional connectivity between brain regions a…
Computational Biology and Bioinformatics
Glioblastoma (GBM) is the most aggressive type of primary brain tumor, with limited response to standard temozolomide (TMZ) therapy due to resistance. Thus, the search for alternative treatm…
Computational Biology and Bioinformatics
Spinal Cord Injuries (SCI) generally cause permanent functional loss due to the accumulation of inhibitory molecules, such as chondroitin sulfate proteoglycans (CSPGs), synthesized by a mult…
Computational Biology and Bioinformatics
In the search for renewable energy, microbial fuel cells (MFCs) powered by organic waste represent a promising solution. This research is significant due to the integration of AI for intelli…
Computational Biology and Bioinformatics
The outbreak of the coconut scale insect first occurred around May to August 2014, becoming a threat to the Philippines' coconut industry. The pest recurred around October 2017 and May 2025.…
Computational Biology and Bioinformatics
Understanding neuronal dynamics often requires advanced mathematical tools that are not easily accessible to students or researchers without specific mathematical training. This project aime…
Computational Biology and Bioinformatics
Computational annotation of protein function remains severely constrained by the vast gap between available sequences and experimentally validated characterizations. Current methods often fa…
Computational Biology and Bioinformatics
HER2 is associated with cancer progression in breast and gastric cancer, and, while HER2-targeted antibody therapy has improved responsiveness, approximately half of patients with HER2-posit…
Computational Biology and Bioinformatics
Accurate pathology billing is crucial for reimbursement, regulatory compliance, and mitigating the $28.8 billion Medicare improper payment crisis amid a growing shortage of medical coders. C…
Computational Biology and Bioinformatics
The global shortage of donor organs has renewed interest in xenotransplantation, with genetically modified pigs (Sus scrofa domesticus) emerging as potential donors for human liver transplan…
Computational Biology and Bioinformatics
Purpose: Antimicrobial resistance causes 1.27 million deaths annually, yet 20–30% of proteins in pathogens remain uncharacterized. In Acinetobacter baumannii, the WHO's #1 priority pathogen,…
Computational Biology and Bioinformatics
Drug-resistant epilepsy affects nearly one-third of patients and often requires surgical intervention; however, success depends on accurate localization of the seizure onset zone (SOZ), curr…
Computational Biology and Bioinformatics
Chimeric Antigen Receptor T-cell (CAR-T) therapy is a breakthrough cancer treatment that genetically engineers patients' immune cells to target and destroy malignancies. While highly success…
Computational Biology and Bioinformatics
Parkinson’s Disease (PD) is a chronic neurodegenerative disorder affecting ~12 million worldwide, causing >329,000 deaths annually, with 80% of cases strongly influenced by cognitive impairm…
Computational Biology and Bioinformatics
Accurate and timely detection of emerging infectious outbreaks is critical for an effective public health response. While current systems like the National Syndromic Surveillance Program hav…
Computational Biology and Bioinformatics
Sepsis is a life-threatening condition caused by an uncontrolled immune response to infection and remains a leading cause of death worldwide, affecting nearly 49 million people annually, whe…
Computational Biology and Bioinformatics
Pebrine disease, which is caused by Nosema mylitta, is one of the most harmful threats to the sericulture sector. Traditional diagnosis involves manual microscopic analysis of moth body flui…
Computational Biology and Bioinformatics
The incurable nature of Amyotrophic Lateral Sclerosis (ALS) is compounded by a diagnostic lag, where symptoms emerge only after irreversible motor neuron attrition. Rather than viewing ALS s…
Computational Biology and Bioinformatics
G protein-coupled receptors (GPCRs) are one of the most therapeutically important receptor families, being the target of >30% of FDA-approved drugs. Activating a GPCR changes its shape, allo…
Computational Biology and Bioinformatics
Lung cancer remains the leading cause of cancer-related mortality, primarily due to its high metastatic potential and difficulty of early detection. Current clinical approaches rely on low-s…
Computational Biology and Bioinformatics
Whole-slide histopathology images(WSIs) form the backbone of AI development in cancer research. However, their high curation cost, gigapixel complexity, and limited availability across insti…
Computational Biology and Bioinformatics
Over 80 million people face loss of upper-limb function. Yet noninvasive electroencephalogram (EEG) prosthetic hand interfaces are limited to cumbersome, binary control due to severe signal…
Computational Biology and Bioinformatics
Pancreatic adenocarcinoma (PAAD) is one of the deadliest cancers, with a five-year survival rate of only 13.3%. This poor prognosis is largely attributed to late-stage diagnosis and limited…
Computational Biology and Bioinformatics
Fluoroquinolones (FQs) are widely prescribed antibiotics with many beneficial pharmacological effects however; they carry FDA black box warnings for neurological side effects. This disconnec…
Computational Biology and Bioinformatics
Alphafold, a protein-folding prediction tool created by Google DeepMind, has shown unprecedented ability to accurately simulate the 3D structure of proteins given an amino acid sequence. Bas…
Computational Biology and Bioinformatics
Understanding disease models and precision medicine require untangling the complexities of spatial-temporal gene and cell interactions. However, inferring causal relationships from spatial t…
Computational Biology and Bioinformatics
Metabolic dysfunction in Alzheimer’s and fatty liver disease is characterized by a paradoxical progression from mitochondrial hyperfission to pathological elongation. While lipid remodeling…
Computational Biology and Bioinformatics
XenoFold is a chemistry-conditioned generative framework designed to computationally propose enzymes capable of degrading xenobiotic pollutants. The system integrates reaction-aware molecula…