Computational Biology and Bioinformatics
Fourth Award
Alzheimer’s Disease, described by several researchers as the public health crisis of the 21st century, is a devastating neurodegenerative disorder of gradual onset, clinically characterized…
Computational Biology and Bioinformatics
Diabetic retinopathy, a condition in which a diabetic individual may experience vision impairment or complete blindness due to the heightened amount of blood sugar in the body, is expected t…
Computational Biology and Bioinformatics
With over 11 percent of people over the age of 65 developing this detrimental disease and being in the top 10 most common chronic conditions for adults over 65, Alzheimer's disease is a detr…
Computational Biology and Bioinformatics
Rheumatoid Arthritis (RA) is an inflammatory autoimmune disease that affects 23 million people worldwide. It is a clinically heterogeneous disorder characterized by the attack of inflammator…
Computational Biology and Bioinformatics
Background: Cancer is the second leading cause of death globally. The heterogeneous nature of cancers with multiple subtypes makes them challenging to treat. We hypothesized that a computati…
Computational Biology and Bioinformatics
Purpose: To create a machine learning model that could identify drugs that could be effective against Multi-Drug Resistant Tuberculosis. Procedure: The Assay Central TB dataset was acquired…
Computational Biology and Bioinformatics
According to the WHO, cancer resulted in 10 million deaths in 2020, a leading cause of death, and studies show that on average any particular class of drugs is ineffective for 75% of all pat…
Computational Biology and Bioinformatics
Fourth Award
With the rapid growth of digital scientific datasets, data visualization is becoming increasingly important, and even the most popular tools require additional features. The goal of this stu…
Computational Biology and Bioinformatics
Second Award
This research presents ARIEL, a deep-learning method for predicting COVID-19 variants and designing therapeutics to neutralize them. ARIEL is the first framework to simultaneously address th…
Computational Biology and Bioinformatics
Fourth Award
Glioblastoma is the most aggressive brain tumor that claims around 200,000 people each year. Glioblastoma patients have a median survival of less than 4 months when left untreated. To extend…
Computational Biology and Bioinformatics
Population mobility is correlated with Covid-19 transmission, making it an ideal indicator for forecasting future outbreaks. Additionally, given the proliferation of vaccines throughout the…
Computational Biology and Bioinformatics
Induced pluripotent stem cells (iPSCs) are becoming a research trend nowadays as they overcome the limitations associated with embryonic stem cells (ESCs) usage and demonstrate a promising t…
Computational Biology and Bioinformatics
My study applies the emerging technology of Bioinformatics, which makes use of biology, computer science, mathematics, and statistics to analyze and interpret biological data, including of D…
Computational Biology and Bioinformatics
First Award
Cancer is a major public health problem that has caused over 10 million deaths worldwide in 2020. Precision oncology, which employs a patient's genetic profile of tumors to identify the most…
Computational Biology and Bioinformatics
Third Award
The unpredictable behavior of tumors is a problematic barrier to developing personalized therapeutic strategies for individuals with all forms of cancer. A leading cause of cancer’s volatile…
Computational Biology and Bioinformatics
Circular RNAs (circRNAs) are closed long non-coding RNAs with excellent prognostic and diagnostic biomarker properties for many diseases including cancer. By using liver tissues of Hepatocel…
Computational Biology and Bioinformatics
Tuberculosis (TB) is a type of mycobacterial infection that has a very high mortality rate if it is left untreated. Bacteriophages are a type of virus that infects and replicates only in bac…
Computational Biology and Bioinformatics
This study explored the effect of changes in the spike protein across SARS-CoV-2 variants (wild-type, Alpha, Beta, Gamma, and Omicron) on the initial binding interactions with American mink…
Computational Biology and Bioinformatics
This study investigates the carcinogenesis of cancer drivers by leveraging epigenetics, genomics, known biomarkers, and phenotypic information creating an algorithm identifying tumor suppres…
Computational Biology and Bioinformatics
Background: Machine learning (ML) algorithms have potential to rapidly screen COVID-19 from chest x-ray (CXR). Current deep convolutional neural network (DCNN) models for COVID-19 detection…
Computational Biology and Bioinformatics
Problem: The COVID-19 pandemic put hospitals into a state of frenzy attempting to handle the sheer quantity of patients. This project aims to predict mortality likelihood of patients that te…
Computational Biology and Bioinformatics
While treating Glioblastoma multiforme, a rapidly-progressive brain cancer with an average survival of less than a year, doctors traditionally conduct biopsies of the patient’s tumor to asse…
Computational Biology and Bioinformatics
CRISPR/Cas9 is a revolutionary gene-editing technology that has been widely utilized in biology, biotechnology, and medicine. CRISPR/Cas9 editing outcomes depend on local DNA sequences at th…
Computational Biology and Bioinformatics
Fourth Award
Aging studies can sustain longer lives with reduced periods of disability, and genetics is a powerful tool for understanding the underlying mechanisms of aging. As part of the complicated ag…
Computational Biology and Bioinformatics
Autoimmune blistering diseases (AIBDs) are rare, chronic disorders of the skin and mucous membranes, with a broad set of clinical manifestations. Considering that 1) diagnosis of AIBDs is a…
Computational Biology and Bioinformatics
Fourth Award
Purpose: COVID-19 has killed more than 5.6 million. Nanobodies that retain the binding affinity of antibodies despite being one-tenth the size, are emerging as viable treatment options to co…
Computational Biology and Bioinformatics
Alzheimer’s disease (AD) is the sixth leading cause of death in the world, and has no method for prevention or effective treatment. A promising method of predicting it is through analyzing t…
Computational Biology and Bioinformatics
In the fight against the COVID-19 pandemic, it is vital to rapidly diagnose possible contagions, treat patients, plan follow-up procedures, with correct and effective use of resources, and e…
Computational Biology and Bioinformatics
Third Award
Advancements in high-throughput technologies have expanded omics repositories, which has created the need to develop novel computational methods. Currently, data integration methods are limi…
Computational Biology and Bioinformatics
Breast cancer is the most commonly diagnosed cancer in the world and accounts for the fifth most cancer deaths globally. Breast cancers are generally categorized into four main subtypes, nam…