Research Foundation
These four papers show the scientific foundation behind equ's explainable, multi-signal health intelligence, developed with collaborators from leading institutions including MIT, Harvard, and the University of Cambridge.
Swipe or scroll to explore four selected papers.
Selected paper
Journal of Affective Disorders
Authors
Morgan B. Talbot, Jessica M. Lipschitz, Omar Costilla-Reyes
How this shaped equ
Shows why equ models interacting signals instead of treating mood, anxiety, and behavior as isolated variables.
Selected paper
Advances in Neural Information Processing Systems
Authors
Arya Grayeli, Atharva Sehgal, Omar Costilla-Reyes, Miles Cranmer, Swarat Chaudhuri
How this shaped equ
Informs equ's neurosymbolic foundation: structured, reusable concepts that make reasoning easier to inspect.
Selected paper
Pervasive Computing Technologies for Healthcare
Authors
Andy Davies, Eiko I. Fried, Omar Costilla-Reyes, Hane Aung
How this shaped equ
Supports equ's connected view of daily behavior, where mobile signals become useful when modeled jointly.
Selected paper
EvoApplications
Authors
José Manuel Muñoz, Odin Morón-García, Omar Costilla-Reyes, José Ignacio Hidalgo
How this shaped equ
Shows that health models can stay compact and interpretable while remaining useful for real decisions.
Explore the latest research and analysis from Equ Healthcare.
By Dr. Omar Costilla Reyes · October 19, 2025
Neurosymbolic AI integrates neural networks with symbolic reasoning to create systems that are high-performing and clinically auditable. This review examines current paradigms, clinical applications, and a path toward safe clinical translation.
Equ Healthcare combines machine learning, neurosymbolic reasoning, and behavioral science to deliver health guidance you can understand and evaluate.
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