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.

Computational simulation of PLGA nanoparticle transport, drug release, and tumor response using finite difference methods in Python.

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

Construct-validity audit of the standard blood–brain barrier (BBB) peptide benchmark: an identity-controlled re-evaluation + shared-source provenance/overlap map, with an open, CPU-reproducible evaluation harness. Do these predictors measure penetration, or their benchmarks?

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".

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

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

A transformer model to predict Lipid Nanoparticle (LNP) efficacy on different cell types

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

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

A collection of computational biology, transport, and pharmacokinetics models written in Python.

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

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.

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

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.