Useful medium-sized tutorials/surveys, grounded in engineering mathematics and closely related to biomedical applications:

Graph Signal Processing: Overview, Challenges, and Applications [link]
Graph isomorphism in quasipolynomial time [link]
Graph Neural Networks: Architectures, Stability, and Transferability [link]
Convex Optimization [link]
Probabilistic Graphical Models [link]
Bayesian Learning for Neural Networks [link]
A survey on domain adaptation theory: learning bounds and theoretical guarantees [link]
Groups and their Representations [link]
Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems [link]
Causal Inference in Statistics: A Primer [link]
What are Diffusion Models? [link]
Differential Equations for Engineers [link]
Introduction to Quantum Mechanics [link]
Essentials of Stochastic Processes [link]
Generative modeling via Schrödinger bridge [link]
Non-equilibrium physics: Fokker-Planck equation [link]