Figure A

Current cardiovascular protocols largely rely on generalized population data, overlooking the complex, patient-specific fluid dynamics that dictate drug transport and disease progression. This research presents a Cardiovascular Digital Twin Platform utilizing the Lattice Boltzmann Method (LBM) and GPU acceleration to simulate high-fidelity blood flow within patient-specific vessel geometries. 

The platform integrates two novel computational modules to address clinical inefficiencies. First, a Deep Reinforcement Learning (DRL) agent was trained to optimize nanoparticle injection timing. Second, a Monte  Carlo Lagrangian simulation (n = 50,000) was implemented to predict metastatic extravasation risk based on Wall Shear Stress (WSS) and Oscillatory Shear Index (OSI). Results demonstrated that the AI-driven optimization achieved a 3.3-fold increase in drug delivery efficiency (6.12% vs. 1.84% baseline, p < 0.001) by autonomously targeting diastolic recirculation vortices. Furthermore, metastasis risk heatmaps generated for the Circle of Willis yielded a strong positive correlation (r = 0.96) with clinical data from the Human Cancer Metastasis Database. 

By rendering invisible hemodynamic forces mathematically actionable, this platform offers a robust proof-of-concept for the next generation of predictive, in silico precision medicine. 

I will be competing once again with this project at the 2026 Terra NYC STEM Fair.

I analyzed the carbon capture ability of two types of absorbent amino acids, alanine and glycine, to apprehend CO2 from the atmosphere so they can subsequently be applied to plants to absorb more carbon during photosynthesis. I recorded measurements of carbon dioxide attracted by both amino acids using a carbon dioxide meter. I discovered that glycine absorbed the most amount of carbon dioxide, that being that it is the best applicant for plants and carbon capture.

 Increasing CO2 (carbon dioxide) in the atmosphere has negative effects on planet Earth. CO2 contributes to air pollution, like greenhouse gases. One major consequences of these gases are their ability to harm the ozone layer; this layer is crucial to cooling the earth down at night. Fortunately, plants have the potential to absorb this CO2, since their sustenance requires carbon dioxide. This process can be effectively and sustainably sped up by applying amino acids on plants. Amino acids are the building blocks of life, thus they are also healthy for plants.  

Many types of marine (salt) and brackish (a mixture of fresh and salt) water bodies around the world are affected by harmful algae blooms. Harmful algae blooms (HABs) are groups of algae (which are plants that live in the sea and freshwater) that grow out of control and produce toxins that can have severe effects on ecosystems (such as oxygen depletion). HABs are primarily caused by dinoflagellates. Dinoflagellates are a type of algae. They are eukaryotic organisms that are not an animal, plant, or fungus. One of the most common types of dinoflagellates that are responsible for harmful algae blooms is Gymodinium. 

 I wanted to compare which of the variables

(Temperature, Ultraviolet light, and the lipase

enzyme) is most effective in reducing

gymnodinium biomass. Out of the three

variables (temperatures, ultraviolet

radiation, and the lipase enzyme) the

enzyme being applied to the gymnodinium

species through enzymatic hydrolysis was

the most effective in reducing the amount of

dinoflagellate biomass. By building on the

idea of using an widely-accessible enzyme to

counter HABs, we can avert the detrimental

effects they are currently having on our

ecosystem.

Our plan employs existing PATH trains with modifications that enable them to be more efficient in delivering packages, and will incorporate a mechanism on the side of the train carriage (the side that faces the train platform) which causes the packages to fall into a station near where the train stops. The mechanism is similar to a ramp in the back of the train, this will be opened up and closed in correspondence to it when necessary. 

To avoid packages being taken out one by one and causing inconvenience as well as delay for train passengers, packages will be organized into groups and strapped together, each group containing cargo for a specific stop. A major pro of this solution is that even though stations are located in major parts of the city, delivering the packages will not be such a challenge. This is because major cities are connected to the World Trade Center, which is a large,  terminal station on the PATH system.