Curieux Academic Journal – November 2025, Issue 56, Part 2

Paper Title: Unlocking Transparency: The Role of Non “Black Box” Machine Learning Models in Medicine

Author: Jack Spitzer (2025)

Summary: Discusses the importance of interpretability in AI-driven diagnostics and treatment recommendations, advocating for transparency in medical ML models.

American Chemical Society Western Regional Meeting – October 25–28, 2025

Presentation Title: Exploring Acetaldehyde Photodissociation Pathways using Interpretable AI Models

Authors: Kim, J.H., Dang, H., Joshi, H., Vyas, D.H., Wong, A., Sridharan, S., Spitzer, J.D., Andreasyan, D., Bojeh, E., Grazioli, G.

Event: Poster Presentation at the ACS Western Regional Meeting

Location: Signia by Hilton, San Jose, CA

Summary: Explores the photodissociation pathways of acetaldehyde using interpretable AI models, presented at the ACS Western Regional Meeting.