ReviewJournal of human genetics2021
Genes, the brain, and artificial intelligence in evolution.
Review in Journal of human genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed, 3 citations in OpenAlex.
- Synaptic Function and Sensory Processing in ZDHHC9-Associated Neurodevelopmental Disorder: A Mechanistic Account.The European journal of neuroscience · 2025Article
- Information Theory for Agents in Artificial Intelligence, Psychology, and Economics.Entropy (Basel, Switzerland) · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Three important systems, genes, the brain, and artificial intelligence (especially deep learning) have similar goals, namely, the maximization of likelihood or minimization of cross-entropy. Animal brains have evolved through predator-prey interactions in which maximizing survival probability and transmission of genes to offspring were the main objectives. Coordinate transformation for a rigid body necessary to win predator-prey battles requires a huge amount of matrix operations in the brain similar to those performed by a powerful GPU. Things (molecules), information (genes), and energy (ATP) are essential for using Maxwell's demon model to understand how a living system maintains a low level of entropy. However, while the history of medicine and biology saw molecular biology and genetics disciplines flourish, the study of energy has been limited, despite estimates that >10% all human genes code energy-related proteins. Since there are a large number of molecular and genetic diseases, many energy-related diseases must exist as well. In addition to mitochondrial disease, common diseases such as neurodegenerative diseases, muscle diseases, cardiomyopathy, and diabetes are candidates for diseases related to cellular energy shortage. We are developing ATP enhancer, a drug to treat such diseases. I predict that in the future, the frontier of medicine and biology will involve energy and entropy, and the frontier of science will be about the cognitive processes that scientists' brains use to study mathematics and physics. That will be understood by comparing the abilities that were necessary to survive battles between predators and prey during evolutionary history.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.