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Designing Translational Research Computer Vision That Conforms to Gold-Standard Science and Open Access Mandates ✍️ By A...
01/20/2026

Designing Translational Research Computer Vision That Conforms to Gold-Standard Science and Open Access Mandates
✍️ By Amy Avakian, MD

Computer vision is becoming a cornerstone of both preclinical and clinical research, but its translational value depends on how rigorously these systems are designed.

In this blog, we explore a translational framework for computer vision pipelines that can operate across species while meeting gold-standard scientific requirements for reliability, reproducibility, and validity.

The article also addresses how CV systems can align with open access mandates, including FAIR data principles and funder expectations for open code and data sharing.

By prioritizing standardization, transparency, and interoperability, this piece outlines how computer vision can move beyond isolated applications and become a true bench-to-bedside research tool, benefiting both preclinical and clinical communities.

👉 Check out the full post at https://conductscience.com/designing-ethical-and-safe-computer-vision-software-for-human-research/

🧬 New on the ConductScience Blog: Learning in Drosophila: The Heat Maze ParadigmHow do fruit flies learn, remember, and ...
01/18/2026

🧬 New on the ConductScience Blog: Learning in Drosophila: The Heat Maze Paradigm

How do fruit flies learn, remember, and navigate their environment? Despite their small size, Drosophila melanogaster offers powerful insights into the neural and genetic foundations of learning and memory.

In this blog, we explore the Heat Maze paradigm, a behavioral assay that uses controlled thermal aversion and visual cues to study spatial learning in flies. The article breaks down how the task works, what it measures, and why it’s a valuable tool for investigating cognition, neural circuitry, and experimental reproducibility in insect neuroscience.

A clear and accessible overview for researchers interested in behavioral paradigms, learning mechanisms, and model organism research.

👉 Read the full blog at https://conductscience.com/learning-in-drosophila-the-heat-maze-paradigm/?srsltid=AfmBOoqK5z_rn-R--VYG3DvF8ra2M5u3a5zb1BJ_oIxk9Ynm9OQiD-Uc

New on the ConductScience Blog!Designing Ethical and Safe Computer Vision Software for Human Research✍️ by Amy Avakian, ...
01/12/2026

New on the ConductScience Blog!

Designing Ethical and Safe Computer Vision Software for Human Research
✍️ by Amy Avakian, MD

Computer vision is rapidly reshaping how researchers study human behavior, health, and performance, but with that progress comes responsibility.

In this new blog, Amy explores how ethical and safety principles can be embedded directly into computer vision software used in human research. The piece goes beyond compliance to examine privacy-by-design, fairness and bias considerations, data security, and participant protection as core elements of responsible system design.

The article also highlights practical strategies for building computer vision tools that respect human dignity while still enabling rigorous, scalable research, especially when working with sensitive visual and biometric data.

👉 Read the full post at https://lnkd.in/dx_rSbd2

Quantitative gait analysis is critical for studying neurological disorders such as Parkinson’s disease, Huntington’s dis...
01/08/2026

Quantitative gait analysis is critical for studying neurological disorders such as Parkinson’s disease, Huntington’s disease, and spinal cord injury. Yet despite rich rodent gait datasets, many findings fail to translate to humans.

In our new blog, we discuss:
▪️Why raw gait metrics (stride length, cadence, speed) don’t scale across species
▪️ How body size, not neural control, drives misleading rodent–human comparisons
▪️The role of dynamic similarity in conserved locomotion principles
▪️Why dimensionless gait metrics (Froude number, CV, symmetry indices, cost of transport) enable meaningful cross-species analysis
▪️Where current gait analysis systems fall short, and what translational platforms need to provide

Raw gait data won’t match across species. Normalized gait data can.

Read the full blog: https://lnkd.in/dBzW-qJY

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