Drug Release Analysis Framework

Stanford Appel Lab - Study Pharmacokinetics Project: Pharmacokinetic Data Modeling and Visualization Tool. Primary usage for drug delivery studies. Web app written in HTML/CSS/JS using libraries from CDNs so it can be deployed on static pages.

Stanford Appel Lab - Study Pharmacokinetics Project: Pharmacokinetic data modeling and visualization tool. Primary usage for drug delivery studies. Python supporting files and an example Jupyter Notebook for configuring custom PK analysis

With a focus on BBB modulation, safety, and translational relevance, this academic research project investigates targeted ultrasound and microbubble-mediated approaches for improved CNS and brain tumor drug delivery.

CPP classification (F1 0.80) and cellular uptake regression (R² 0.79) on the POSEIDON database · DataCon 3.0 · Python · RDKit · CatBoost

This model makes predictions on LNP Encapsulation Efficiency % based on training data acquired from the LNP Atlas project

MATLAB code for Ouyang et al. (2020) - A dose threshold to enhance nanoparticle tumour delivery. Quantification of nanoparticle concentration as a function of distance from blood vessels from 3D light-sheet microscopy images.

Official repository of "A Machine Learning Framework for Predicting Entrapment Efficiency in Niosomal Particles".

Personal academic site for Molham Sakkal - Cancer Cell Biology and Drug Delivery research at Al Ain University HBRC. Auto-synced from Google Scholar weekly.

Review Article on Nanomaterial-Based Sensors for Biomedical and Pharmaceutical Applications

Academic portfolio focused on biomaterials, lignin-based systems, alginate hydrogels, controlled drug delivery, and GitHub documentation practice.

This repository is linked to the article: A first passage model of intravitreal drug delivery and residence time - influence of ocular geometry, individual variability, and injection location

3D Simulation of particles in the human body (discontinued).

In silico approaches for designing and predicting highly effective cell penetrating peptides

A research‑grade framework for computational modeling of canine therapeutic delivery. Includes gating logic, stability modeling, PK/PD simulation, dosing engines, and GA‑based delivery‑matrix optimization. Built for translational teams advancing veterinary longevity science.

Catalent is a major US corporation and Fortune 1000 company. The Catalent API provides programmatic access to its platform services, data, and integrations for enterprise customers and partners.

📚 Build personalized study plans using AI in a Flask web app tailored to your skills, interests, and available time.