Computational Biology and Bioinformatics
Fourth Award
The ability to visualize cell behavior within the 3-dimensional space of a tissue is invaluable for understanding cell function. Although open-source and professional software exist to analy…
Computational Biology and Bioinformatics
The global bird population decline due to climate change, pollution, and habitat destruction is a critical challenge. Addressing this global issue is vital for biodiversity preservation and…
Computational Biology and Bioinformatics
According to the WHO, nearly 50 million people suffer from epilepsy, one of the most common neurological diseases. Deaths caused by epilepsy have doubled over the past decade. Epilepsy is ch…
Computational Biology and Bioinformatics
Vision is a critical mode of perception that guides behavioral responses in many organisms. It is loosely grouped into two stages, sensing by photoreceptors and processing, further divided i…
Computational Biology and Bioinformatics
Alzheimer's disease (AD) is a neurodegenerative condition primarily occurring in later life, severely impacting cognitive abilities until it ultimately leads to death. Due to demographic shi…
Computational Biology and Bioinformatics
Missense variants have the potential to result in disease development attributable to protein variants. Current genetic tests evaluate the potential for disease development by querying vario…
Computational Biology and Bioinformatics
Disease pathogenesis is closely associated with genetically influenced metabolites. The identification of individualized metabolite-disease associations is crucial in advancing personalized…
Computational Biology and Bioinformatics
Sequence alignment tools have traditionally been used to study the evolution of genome sequences by aligning sequences of varying lengths. However, these tools are memory-intensive, time-con…
Computational Biology and Bioinformatics
Third Award
The estrous cycle regulates reproductive events and hormone changes in female mammals and is akin to the menstrual cycle in humans. Monitoring the cycle is necessary as it is a biomarker for…
Computational Biology and Bioinformatics
Aging involves a gradual decline in physiological functions, heightening morbidity and mortality risks through diminished organ function, muscle mass, bone density, and a compromised immune…
Computational Biology and Bioinformatics
Disease pathways are in great need of study. The understanding of disease pathways can result in the development of more individualized methods for diagnosis and treatment of various disease…
Computational Biology and Bioinformatics
The World Health Organisation’s Blueprint Priority Disease Nipah henipavirus’ (NiV) deadly pandemic potential has been evidenced by outbreaks across the world. High mortality rates of up to…
Computational Biology and Bioinformatics
Globally, cancer is the leading cause of death, with 1.9 million new diagnoses and 600,000 deaths annually attributed to lung cancer alone. Non-small cell lung cancer (NSCLC) represents appr…
Computational Biology and Bioinformatics
Kidney cancer treatment depends on several factors, such as cancer subtype and stage. It is extremely important that the doctor knows what subtype of kidney cancer their patient has in order…
Computational Biology and Bioinformatics
Second Award
Conventionally, tumorigenesis is understood as a gradual accumulation of genetic mutations. Yet, chromoplexy rearrangements (ChRs) are a mutational phenomenon characterized by highly complex…
Computational Biology and Bioinformatics
Each year, the escalating drug epidemic causes over 100,000 deaths in the US. 80% of these mortalities result from multiple drug use toxicity, which yields unpredictable and potentially fata…
Computational Biology and Bioinformatics
Mucin-1 MUC1 is a high molecular weight glycoprotein that can overexpress, causing various cancers and playing a significant role in tumor progression and metastasis. Developing targeted the…
Computational Biology and Bioinformatics
Cell viability analysis (MTT assay) can detect subtle changes in cellular metabolic activity at low concentrations, providing a sensitive assessment of cytotoxicity and survival capability.…
Computational Biology and Bioinformatics
Second Award
In recent years, generative machine learning algorithms have been successful in designing innovative drug-like molecules. SMILES is a sequence-like language used in most effective drug desig…
Computational Biology and Bioinformatics
Melanoma is a type of skin cancer that originates in melanocytes, the pigment-producing cells, and is known for its potential to metastasize and become life-threatening if not detected and t…
Computational Biology and Bioinformatics
There are approximately 40 million imaging diagnostic errors annually worldwide (Itri, et al, 2018). Roughly 795,000 people in the U.S. alone die or are permanently disabled due to misdiagno…
Computational Biology and Bioinformatics
The most common biological neuron spiking computational model is the Integrate&Fire (I&F) model. It computes the neuron's potential by summing its inputs and fires spikes accordingly. The Fi…
Computational Biology and Bioinformatics
Progressive Supranuclear Palsy(PSP) is a neurodegenerative disease that affects many individuals over the age of 60. Unfortunately, more than 30% of patients with PSP are misdiagnosed as hav…
Computational Biology and Bioinformatics
Second Award
Respiratory Syncytial Virus (RSV) poses significant health risks, especially to infants under six months and adults over 65. The objective of this study is to deepen the understanding of str…
Computational Biology and Bioinformatics
Third Award
Deep learning, particularly generative models, have shown promise to expedite the drug discovery process by generating novel molecules with desirable properties/bioactivity. Current research…
Computational Biology and Bioinformatics
Oxidative stress is a precursor to numerous cancers, including the Grade IV glioblastoma, affecting >300,000 people annually. However, the identification of oxidative stress markers remains…
Computational Biology and Bioinformatics
Traditional drug discovery is costly, slow, and has low FDA approval rates. Deep learning models such as GAN, VAE, & reinforcement learning (RL) have emerged as a solution, using SMILES or g…
Computational Biology and Bioinformatics
The human microbiome is a term for the community of microorganisms living in the human body. The composition of the microbiome has the ability to influence the expression of various diseases…
Computational Biology and Bioinformatics
Alzheimer's disease (AD) is a complex neurodegenerative disorder with no cure, despite decades of research. More than six million adults in America are living with Alzheimer’s and the number…
Computational Biology and Bioinformatics
Apple snails are an invasive species in the southeastern United States, who host the rat lungworm which is very detrimental to humans. Currently the main control method for apple snails is p…