Theoretical and Mathematical Biology cover art

Theoretical and Mathematical Biology

Theoretical and Mathematical Biology

Written by: Theoretical and Mathematical Biology
Listen for free

About this listen

This is the podcast from the channel: https://www.youtube.com/channel/UCNRmSus_UIUETlWA7bZCZ4A© 2026 Theoretical and Mathematical Biology Education
Episodes
  • Innovating with biomathematics in JavaScript: Transfer Learning Validation and AI Democratization
    Jan 6 2026

    Learn more: Transfer Learning in Angular

    Please, let me know you asked to join the course.

    Papers:

    SnakeChat: A Conversational-AI Based App for Snake Classification

    SnakeFace: a transfer learning based app for snake classification

    Development of a Conversational Artificial Intelligence–Based Web Application for Medical Consultations: Prototype Study

    Read also

    Machine learning in medicine using JavaScript: building web apps using TensorFlow.js for interpreting biomedical datasets


    We talk about computational and mathematical models in life science

    Read more: Theoretical and Mathematical Biology


    Show More Show Less
    31 mins
  • AI Cascades Transform Clinical Decision Workflow
    Dec 9 2025

    Sources:

    An Explainable Vision Transformer-Based Web Application for Medical Decision-Making: Case of Colon Cancer


    Development of a Conversational Artificial Intelligence–Based Web Application for Medical Consultations: Prototype Study


    We talk about computational and mathematical models in life science

    Read more: Theoretical and Mathematical Biology


    Show More Show Less
    40 mins
  • AI Chatbots Democratize Drug Discovery Research
    Nov 29 2025

    The source details the creation and rigorous validation of an automated bioinformatics platform designed to advance personalized medicine in cancer treatment. This workflow analyzes RNA sequencing (RNA-seq) data from solid tumors to identify critical protein "hubs" within subnetworks of up-regulated genes. Central to the methodology is the calculation of subnetwork entropy, which the researchers validate by showing its strong negative correlation with patient 5-year overall survival (OS) across various tumor types. The complex analytical pipeline, implemented using Galaxy to manage heterogeneous scripts, provides robust, automated target identification. This information is delivered through a user-friendly online platform built upon the MEAN stack (MongoDB, Express.js, Angular, and Node.js), ensuring the system is accessible and compatible with mobile devices for healthcare professionals. Ultimately, this translational oncology effort seeks to improve rational drug use by converting massive datasets into specific, actionable therapeutic targets.

    Source: Conversational no-code and multi-agentic disease module identification and drug repurposing prediction with ChatDRex

    Learn more:

    • When Your Work Becomes Part of a Larger Architecture: How My Workflow Paper Was Strategically Used in a New Multi-Agent Drug Discovery System
    • Galaxy and MEAN Stack to Create a User-Friendly Workflow for the Rational Optimization of Cancer Chemotherapy




    We talk about computational and mathematical models in life science

    Read more: Theoretical and Mathematical Biology


    Show More Show Less
    35 mins
No reviews yet