785 Computational Biology and Bioinformatics science fair projects

ISEF · 2026

Accelerating Whole-Brain Axonal Mapping With FastRandomForest and Proof of Concept in a Familial Alzheimer’s Disease Mouse Model

Computational Biology and Bioinformatics

Mapping long - range axonal projections is critical for understanding neural circuit dysfunction in neurodegenerative diseases. While machine learning ( ML ) tools have advanced volumetric c…

ISEF · 2026

ACE: Explainable Classification of Acute Myeloid Leukemia Subtypes Using Unlabeled Single-Cell Images

Computational Biology and Bioinformatics

Acute myeloid leukemia (AML) is the most common type of acute leukemia in adults, with ~22,000 new cases and ~11,000 deaths in the USA annually. AML subtypes require distinct treatment proto…

ISEF · 2026

AD-Stage-Net: AI for Alzheimer's MRI Classification

Computational Biology and Bioinformatics

Alzheimer's disease (AD) is the most common neurodegenerative disorder and a leading cause of dementia worldwide, making early and accurate staging critical for research and care planning. A…

ISEF · 2026

Advancing Acoustic Classification of False Killer Whales Using Spectrogram-Based Machine Learning

Computational Biology and Bioinformatics

The false killer whale (Pseudorca crassidens), one of Hawai?i's most endangered marine mammals, is difficult to monitor visually because of its deep-sea distribution and behavioral avoidance…

ISEF · 2026

AI-Driven Prognosis of Dementia: Risk Stratification From Baseline Clinical Profiles in a Large Longitudinal Cohort

Computational Biology and Bioinformatics

Dementia affects more than 55 million people worldwide, and its prevalence is projected to nearly triple by 2050. A major clinical challenge is identifying individuals who are likely to expe…

ISEF · 2026

AI/ML-Driven Systems-Level Analysis Identifies CEACAM1 as a Neuroinflammatory-Metabolic Signaling Vulnerability in Parkinson’s Disease

Computational Biology and Bioinformatics

Parkinson disease (PD) remains a progressive neurodegenerative disorder that is characterized by dopaminergic neuronal loss, immune metabolic dysregulation, and chronic neuroinflammation. Th…

ISEF · 2026

AI-Optimized Multi-Gene Guide RNA Design for Salt-Tolerant Tomatoes

Computational Biology and Bioinformatics

Current CRISPR guide design tools rank on single scores without multi-module integration. This project seeks to develop machine learning models to predict optimal CRISPR-Cas9 Guide RNA seque…

ISEF · 2026

A Markov Chain Model for Predicting ETI Resistance Breakdown in Tomato–Pseudomonas syringae

Computational Biology and Bioinformatics First Award

Agricultural pesticide use remains substantial, increasing chemical exposure, environmental burden, and production costs. U.S. farms spent $21.7 billion on agricultural chemicals in 2024. Be…

ISEF · 2026

A Multi-Layer AI-Assisted in silico Pipeline for Generalizable Enzyme Engineering via Computational Directed Evolution

Computational Biology and Bioinformatics

Enzymes are widely used across healthcare, textiles, and environmental technologies, requiring optimization through enzyme engineering. Traditional approaches rely on wet-lab trial-and-error…

ISEF · 2026

A Multimodal Approach to Real-Time Seizure Prediction Using Discreet Wearables

Computational Biology and Bioinformatics Third Award

Epilepsy is a neurological disorder characterized by recurrent seizures, and affects nearly 50 million people, causing ~140,000 deaths worldwide annually. Many of these deaths could be preve…

ISEF · 2026

A Multi-Modal Deep Learning Pipeline Integrating Physics-Informed Neural Networks and 3D Image Processing for Accurate Rupture Prediction and Data-Driven Surgical Planning of Cerebral Aneurysms: Year 3

Computational Biology and Bioinformatics First Award

Background: Rupture of cerebral aneurysm, an abnormal bulging of the arterial wall, can lead to brain hemorrhage and stroke. Endovascular surgical treatment is highly invasive and poses sign…

ISEF · 2026

A Multi-Omic “Digital Embryo” Framework to Model Early Human Preimplantation Development In Silico

Computational Biology and Bioinformatics Second Award

Nearly 50% of human IVF embryos arrest before reaching the blastocyst stage, yet the molecular mechanisms causing this failure remain poorly understood. Current literature examines omics in…

ISEF · 2026

A Multi-Omics and Machine Learning Approach for Identifying Potential Salivary Biomarkers of and Treating Major Depressive Disorder

Computational Biology and Bioinformatics

Major Depressive Disorder (MDD) negatively affects over 300 million people worldwide as the leading cause of disability, and suicide. Yet, current biomarkers fail to capture its biological h…

ISEF · 2026

A Multi-Stage Computational Pipeline for Designing Therapeutic Peptides Against Alpha-Synuclein Aggregation, Utilizing a Geometry-Aware Machine Learning Model Trained on ProLIF Data

Computational Biology and Bioinformatics

Parkinson's disease is the world's most rapidly growing neurodegenerative disease, and the cause is largely attributed to the misfolding of a protein in the brain known as alpha-synuclein (a…

ISEF · 2026

A Neurological Subtype Classification of ASD and an fMRI-Powered Therapy Prediction Model

Computational Biology and Bioinformatics

It is well known that autism is a spectrum of various disorders rather than a single, discrete disorder. This makes it incredibly difficult to study since there appears to be a gradient in b…

ISEF · 2026

A Novel Clinically-Validated Deep RL Agent for Personalized Crohn’s Disease Treatment

Computational Biology and Bioinformatics Fourth Award

Crohn's Disease (CD) is a chronic autoimmune condition characterized by intense inflammatory flares. CD is incurable, and available medications carry severe side effects. With few head-to-he…

ISEF · 2026

Antibody Deimmunization via Targeted, Machine Learning Guided Sequence Design Using Fine Tuned Protein Language Models for Computationally Efficient Design

Computational Biology and Bioinformatics

Rheumatoid arthritis (RA) is an autoimmune disease affecting approximately 18 million people worldwide. Many treatments rely on monoclonal antibody drugs that block inflammatory signals such…

ISEF · 2026

A Unified Protein Embedding Model With Local and Global Structural Sensitivity

Computational Biology and Bioinformatics Second Award

Structural comparison between proteins is key to many research tasks, including evolutionary analysis, peptidomimetics, and functional annotation. Traditional structure alignment tools such…

ISEF · 2026

Beating the Odds in Drug Discovery With 3DICE: Interpretable 3D Cross-Modal Learning for Drug–Target Interaction Prediction at Scale

Computational Biology and Bioinformatics Second Award

Drug–target interaction (DTI) prediction is a crucial step in modern drug discovery. Accurate and efficient predictions can substantially reduce costs and development time. While deep learni…

ISEF · 2026

BeeCast: A Novel Predictive Model Using Neural Networks to Predict Colony Collapse

Computational Biology and Bioinformatics

The steady decline in bee population over the past several decades has led to an overall decrease in crop yields and poorer food quality. Today, there are no known tools available on the mar…

ISEF · 2026

Beyond the Mutation: Evolution-Aware Antibiotic Discovery Through a Novel Resistance-Robust Computational Framework

Computational Biology and Bioinformatics

Declared a global crisis by the World Health Organization, antibacterial resistance causes over 5 million deaths annually. Existing models optimize binding affinity at a single evolutionary…

ISEF · 2026

Biophysical and Genomic Drivers of Targeted Therapy Resistance: Analysis of Growth Dynamics in Non-Small Cell Lung Cancer

Computational Biology and Bioinformatics Second Award

Resistance to targeted therapies in non-small cell lung cancer (NSCLC) limits treatment efficacy. Mathematical models have shown promise in predicting resistance development by capturing bio…

ISEF · 2026

Biophysical Computational Modeling of Neuronal Network Activity in Control and SHANK2-Linked Autism Brain Organoids

Computational Biology and Bioinformatics

Multiple mechanisms contribute to Autism Spectrum Disorder (ASD), including mutations in the SHANK2 gene. SHANK2 encodes a postsynaptic scaffolding protein that organizes key excitatory rece…

ISEF · 2026

BrainAGE-CLIP: A Novel Computational Biomarker for Brain Aging in Mice

Computational Biology and Bioinformatics

Brain age gap estimation(BrainAGE) has emerged as a powerful biomarker in human neuroimaging, offering insight into deviations from normative aging trajectories and providing a sensitive ind…

ISEF · 2026

BRAINMAP-NET: A Multilayer Convolutional Neural Network-Based Tool for Clustering Glioma Mechanical Subregions Using Topological Modeling of MRE-Derived Stiffness Gradients and Curvature

Computational Biology and Bioinformatics

Gliomas are the deadliest brain tumors with recurrence rates of up to 90%. Without an accurate map of the tumors’ heterogeneity, surgeons operate with limited knowledge of tumor margins, oft…

ISEF · 2026

Breeding for the Future: A Software Simulation Approach to Crossbreeding Corals for Reef Resilience

Computational Biology and Bioinformatics

Coral reefs are some of the most biodiverse ecosystems on Earth, but are increasingly prone to bleaching due to warming ocean temperatures and acidification. Selective breeding of corals, es…

ISEF · 2026

Computational Analysis of Alpha-Synuclein Protein Misfolding in Parkinson's Disease and Lewy Body Dementia Using AlphaFold-Predicted Structures and RMSD-Based Metrics

Computational Biology and Bioinformatics

Parkinson's disease (PD) and Lewy Body Dementia (LBD) are two neurodegenerative disorders that are caused by the abnormal misfolding and aggregation of the same protein, a-synuclein. Despite…

AJAS · 2026

Computational Identification of Mitochondrial Binding Sites for General Anesthetics

Computational Biology and Bioinformatics (inferred)

Drug discovery relies on an accurate assessment of how a compound binds to a target and how that may influence biological function. The recent revolution in AI has now significantly expedite…

ISEF · 2026

Computational Identification of Novel Endocan Inhibitors for Targeted Glioblastoma Therapy Through Molecular Docking and ADMET Analysis

Computational Biology and Bioinformatics

Glioblastoma multiforme (GBM) is a highly aggressive and vascularized brain tumor with poor prognosis and limited therapeutic options. Endocan (ESM1), a tumor-associated endothelial proteogl…

ISEF · 2026

Computational Pipeline for High-Throughput 3D Quantification of Cell States in Polymorphonuclear Neutrophils

Computational Biology and Bioinformatics Third Award

Reliable characterization of cell states, which encompass a cell's function, environment, and structure, is fundamental to comprehending healthy cell function and transition into diseased st…

Computational Biology and Bioinformatics science fair projects

Accelerating Whole-Brain Axonal Mapping With FastRandomForest and Proof of Concept in a Familial Alzheimer’s Disease Mouse Model

ACE: Explainable Classification of Acute Myeloid Leukemia Subtypes Using Unlabeled Single-Cell Images

AD-Stage-Net: AI for Alzheimer's MRI Classification

Advancing Acoustic Classification of False Killer Whales Using Spectrogram-Based Machine Learning

AI-Driven Prognosis of Dementia: Risk Stratification From Baseline Clinical Profiles in a Large Longitudinal Cohort

AI/ML-Driven Systems-Level Analysis Identifies CEACAM1 as a Neuroinflammatory-Metabolic Signaling Vulnerability in Parkinson’s Disease

AI-Optimized Multi-Gene Guide RNA Design for Salt-Tolerant Tomatoes

A Markov Chain Model for Predicting ETI Resistance Breakdown in Tomato–Pseudomonas syringae

A Multi-Layer AI-Assisted in silico Pipeline for Generalizable Enzyme Engineering via Computational Directed Evolution

A Multimodal Approach to Real-Time Seizure Prediction Using Discreet Wearables

A Multi-Modal Deep Learning Pipeline Integrating Physics-Informed Neural Networks and 3D Image Processing for Accurate Rupture Prediction and Data-Driven Surgical Planning of Cerebral Aneurysms: Year 3

A Multi-Omic “Digital Embryo” Framework to Model Early Human Preimplantation Development In Silico

A Multi-Omics and Machine Learning Approach for Identifying Potential Salivary Biomarkers of and Treating Major Depressive Disorder

A Multi-Stage Computational Pipeline for Designing Therapeutic Peptides Against Alpha-Synuclein Aggregation, Utilizing a Geometry-Aware Machine Learning Model Trained on ProLIF Data

A Neurological Subtype Classification of ASD and an fMRI-Powered Therapy Prediction Model

A Novel Clinically-Validated Deep RL Agent for Personalized Crohn’s Disease Treatment

Antibody Deimmunization via Targeted, Machine Learning Guided Sequence Design Using Fine Tuned Protein Language Models for Computationally Efficient Design

A Unified Protein Embedding Model With Local and Global Structural Sensitivity

Beating the Odds in Drug Discovery With 3DICE: Interpretable 3D Cross-Modal Learning for Drug–Target Interaction Prediction at Scale

BeeCast: A Novel Predictive Model Using Neural Networks to Predict Colony Collapse

Beyond the Mutation: Evolution-Aware Antibiotic Discovery Through a Novel Resistance-Robust Computational Framework

Biophysical and Genomic Drivers of Targeted Therapy Resistance: Analysis of Growth Dynamics in Non-Small Cell Lung Cancer

Biophysical Computational Modeling of Neuronal Network Activity in Control and SHANK2-Linked Autism Brain Organoids

BrainAGE-CLIP: A Novel Computational Biomarker for Brain Aging in Mice

BRAINMAP-NET: A Multilayer Convolutional Neural Network-Based Tool for Clustering Glioma Mechanical Subregions Using Topological Modeling of MRE-Derived Stiffness Gradients and Curvature

Breeding for the Future: A Software Simulation Approach to Crossbreeding Corals for Reef Resilience

Computational Analysis of Alpha-Synuclein Protein Misfolding in Parkinson's Disease and Lewy Body Dementia Using AlphaFold-Predicted Structures and RMSD-Based Metrics

Computational Identification of Mitochondrial Binding Sites for General Anesthetics

Computational Identification of Novel Endocan Inhibitors for Targeted Glioblastoma Therapy Through Molecular Docking and ADMET Analysis

Computational Pipeline for High-Throughput 3D Quantification of Cell States in Polymorphonuclear Neutrophils

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