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…
Computational Biology and Bioinformatics
The lack of effective treatments for many diseases increases the demand for new drug discovery. Consequently, the drug repositioning (DR) strategy is widely used. Drug-Target Interaction (DT…
Computational Biology and Bioinformatics
As a common side-effect of aminoglycoside antibiotics and cancer-related medications, drug-induced hearing loss (ototoxicity) can severely deplete inner ear hair cells and cause long-term se…
Computational Biology and Bioinformatics
Pineoblastoma (PB) is a malignant brain tumor that originates in the pineal gland. Patients diagnosed with PB experience headaches, sleepiness, vomiting, and vision changes. This epidemiolog…
Computational Biology and Bioinformatics
Human endogenous retroviruses (HERVs) are remnants of germline infections that constitute 5-8% of the human genome. HERVs have been suggested as potential oncogenic drivers. One HERV, HML-6…
Computational Biology and Bioinformatics
Particulate matter consists of both solid particles and liquid droplets. PM2.5 are particles 2.5 micrometers in diameter or less. Internal combustion engines, coal-fired power plants, constr…
Computational Biology and Bioinformatics
Fourth Award
Patient-Derived Xenografts (PDX), a novel in vivo cancer modeling technique used in personalized medicine, has been shown to bypass typical constraints of in vitro tumor cell culture models.…
Computational Biology and Bioinformatics
Second Award
Tauopathies are a group of progressive disorders that are characterized when a protein, called tau, builds up significantly in an individual's brain. New breakthrough research has demonstrat…