Posts Tagged ‘to’

Exclusive: Have scientists found Leonardo da Vinci’s DNA? | Science | AAAS

February 4, 2026

I think you should definitely contact her for professional meeting (and then ask about Sophie possibly meeting with her and learning)

On Sun, Feb 1, 2026 at 5:40 PM Mark Gerstein <mark> wrote:

QT: {{"
The hunt for Leonardo’s DNA has been a high-profile proving ground for
“arteomics,” an emerging field that could transform how the art world
authenticates and protects its most precious objects (see sidebar,
below). Today, authorship decisions hinge on expert opinion on, for
example, how a brushstroke was made. “Connoisseurship is still what
counts,” says LDVP chair Jesse Ausubel, an environmental scientist at
Rockefeller University who previously led a major project to census
the diversity of marine life.

With human Y chromosome and other nuclear DNA sequences from both the
drawing and the letters in hand, the LDVP team approached Lee, a Y
chromosome expert, in late 2024. Lee was intrigued, and LDVP sent him
blinded sequence data from swabs of Holy Child, several Frosino
letters, and the cheeks of the scientists who sampled the materials.
….
Lee, Loftus, and Jackson geneticist Pille Hallast compared the
sequences with a panel of some 90,000 known markers—changes in
individual base pairs—that group Y chromosome sequences into lineages
called haplogroups. Four samples from Holy Child and the Frosino
letters could be reliably assigned a haplogroup—and they all converged
on E1b1b, a lineage found in the Tuscany area that Leonardo’s extended
family might have carried.
….
When Andrew Miranker peers at a Blakelock canvas, he sees more than
brushwork and varnish. He sees a molecular archive. “Paint is a
recording device,” says Miranker, a biophysicist at Yale University.
As oil paint slowly cures, it traps fragments of DNA—human, animal,
microbial—along with the dust and air of a studio. By interrogating
vanishingly small samples of the strata on supposed Blakelock
canvases, Miranker’s team hopes to uncover clues to whether they were
done by the artist himself or a clever forger.
….
For instance, minuscule paint flakes from an oil painting of a family
farmhouse by John Fairbanks, an American artist from the turn of the
20th century, yielded genetic signatures of farm animals, a dog, and
regional crops such as wheat and clover.

DNA often gets star billing, but proteins can also be telling, says
Julie Arslanoglu, an organic chemist at the Metropolitan Museum of Art
who co-founded Art Bio Matters, an international consortium decoding
molecular signatures in art.

She and University of Bordeaux analytical chemist Caroline Tokarski, a
pioneer in applying proteomic analysis to artworks, probed a
long-standing puzzle about 18th century English artist Thomas
Gainsborough. …. In 1773, Gainsborough wrote to a friend describing
a “secret recipe” for preventing smoke’s dimming effects: He dipped
drawings in skim milk.

To test that claim, the Met-Bordeaux team analyzed rubbings from
Gainsborough drawings in the Morgan Library & Museum. Their results,
published in Heritage Science in 2020, confirmed the legend: The
coating on Gainsborough’s sketches, including Hilly Landscape with
Cows on the Road, contained bovine milk proteins, especially casein.
But exactly how the artist applied the skim milk—and why it
helped—remains a riddle.

"}}

https://www.metmuseum.org/about-the-met/conservation-and-scientific-research/scientific-research/arche

https://www.science.org/content/article/have-scientists-found-leonardo-da-vinci-s-dna

Exclusive: Have scientists found Leonardo da Vinci’s DNA? | Science | AAAS

February 1, 2026

QT: {{”
The hunt for Leonardo’s DNA has been a high-profile proving ground for “arteomics,” an emerging field that could transform how the art world authenticates and protects its most precious objects (see sidebar, below). Today, authorship decisions hinge on expert opinion on, for example, how a brushstroke was made. “Connoisseurship is still what counts,” says LDVP chair Jesse Ausubel, an environmental scientist at Rockefeller University who previously led a major project to census the diversity of marine life.

With human Y chromosome and other nuclear DNA sequences from both the drawing and the letters in hand, the LDVP team approached Lee, a Y chromosome expert, in late 2024. Lee was intrigued, and LDVP sent him blinded sequence data from swabs of Holy Child, several Frosino letters, and the cheeks of the scientists who sampled the materials. ….
Lee, Loftus, and Jackson geneticist Pille Hallast compared the sequences with a panel of some 90,000 known markers—changes in individual base pairs—that group Y chromosome sequences into lineages called haplogroups. Four samples from Holy Child and the Frosino letters could be reliably assigned a haplogroup—and they all converged on E1b1b, a lineage found in the Tuscany area that Leonardo’s extended family might have carried.
….
When Andrew Miranker peers at a Blakelock canvas, he sees more than brushwork and varnish. He sees a molecular archive. “Paint is a recording device,” says Miranker, a biophysicist at Yale University. As oil paint slowly cures, it traps fragments of DNA—human, animal, microbial—along with the dust and air of a studio. By interrogating vanishingly small samples of the strata on supposed Blakelock canvases, Miranker’s team hopes to uncover clues to whether they were done by the artist himself or a clever forger.
….
For instance, minuscule paint flakes from an oil painting of a family farmhouse by John Fairbanks, an American artist from the turn of the 20th century, yielded genetic signatures of farm animals, a dog, and regional crops such as wheat and clover.

DNA often gets star billing, but proteins can also be telling, says Julie Arslanoglu, an organic chemist at the Metropolitan Museum of Art who co-founded Art Bio Matters, an international consortium decoding molecular signatures in art.

She and University of Bordeaux analytical chemist Caroline Tokarski, a pioneer in applying proteomic analysis to artworks, probed a long-standing puzzle about 18th century English artist Thomas Gainsborough. …. In 1773, Gainsborough wrote to a friend describing a “secret recipe” for preventing smoke’s dimming effects: He dipped drawings in skim milk.

To test that claim, the Met-Bordeaux team analyzed rubbings from Gainsborough drawings in the Morgan Library & Museum. Their results, published in Heritage Science in 2020, confirmed the legend: The coating on Gainsborough’s sketches, including Hilly Landscape with Cows on the Road, contained bovine milk proteins, especially casein. But exactly how the artist applied the skim milk—and why it
helped—remains a riddle.

“}}

https://www.metmuseum.org/about-the-met/conservation-and-scientific-research/scientific-research/arche

https://www.science.org/content/article/have-scientists-found-leonardo-da-vinci-s-dna

What Are ‘World Models’? The Key to the Next Big AI Leap – WSJ

January 2, 2026

What Are ‘World Models’? The Key to the Next Big AI Leap – WSJ https://www.wsj.com/tech/ai/world-models-ai-evolution-11275913
https://www.wsj.com/tech/ai/world-models-ai-evolution-11275913?mod=article_inline

Chris on X: “GPT-5.1 (Thinking High) is about 300 times cheaper per task than o3-preview (Low) while scorin g only a few points lower on ARC-AGI-1. 1 year later intelligence has gotten 300 times cheaper. This is why I can’t st and people who say “wahh the models too expensive” it will become https://t.co/VkfepKVTgV” / X

December 23, 2025

https://x.com/chatgpt21/status/1990516566073729362

Does a cell’s gene expression always reflect its function?

December 22, 2025

https://www.nature.com/articles/d41586-025-00088-1

Özel, M. N., & Desplan, C. (2025). Does a cell’s gene expression always reflect its function? Nature, 638(8052), 899–900.
https://doi.org/10.1038/d41586-025-00088-1

Opinion | This Is the 21st-Century Arms Race. Can America Keep Up?

December 10, 2025

The Editorial Board. (2025, December 11). Opinion | This is the 21st-Century arms race. Can America keep up? The New York Times.
https://www.nytimes.com/interactive/2025/12/09/opinion/editorials/us-china-military-ai-tech.html

QT:{{”
Something strange happened at the meeting between President Joe Biden and President Xi Jinping of China in a mansion south of San Francisco on Nov. 15, 2023. After a working lunch, as the two leaders rose to leave, an aide to Mr. Xi signaled to one of the Chinese president’s bodyguards, who approached the table, took a small bottle out of his pocket and quickly sprayed down every surface that Mr. Xi had touched, including what remained of the almond meringue cake on his dessert plate.

The purpose, the Americans concluded, was to remove any trace of Mr. Xi’s DNA that his hosts might collect and exploit. “This is the way they’re thinking,” said an official who attended the meeting, “that you could design a disease that would only affect one person.” …
This year two major companies — OpenAI and Anthropic — warned that if nothing is done, A.I. will soon be able to assist bad actors attempting to create bioweapons. Students at M.I.T. used chatbots to come up with four pandemic pathogens. The A.I. explained how to generate them from synthetic DNA; it suggested companies that were unlikely to screen orders for the DNA; and it recommended that if the students lacked the skills to do all this, they could contact a research organization. This was done in one hour.
“}}

2nd part of a multi-part series

Protecting Human Genomic Data When Developing Generative Artificial Intelligence Tools and Applications | Grants & Funding

November 8, 2025

https://grants.nih.gov/news-events/nih-extramural-nexus-news/2025/05/protecting-human-genomic-data-when-developing-generative-artificial-intelligence-tools-and-applications

Protecting Human Genomic Data When Developing Generative Artificial Intelligence Tools and Applications | Grants & Funding

November 8, 2025

https://grants.nih.gov/news-events/nih-extramural-nexus-news/2025/05/protecting-human-genomic-data-when-developing-generative-artificial-intelligence-tools-and-applications

The International Human Epigenome Consortium: A Blueprint for Scientific Collaboration and Discovery: Cell

October 18, 2025

Capstone reviews/perspectives for reference

**IHEC**

The International Human Epigenome Consortium: A Blueprint for Scientific Collaboration and Discovery
Hendrik G. Stunnenberg ∙ The International Human Epigenome Consortium4 ∙ Martin Hirst

Stunnenberg, H. G., Hirst, M., Abrignani, S., Adams, D., De Almeida, M., Altucci, L., Amin, V., Amit, I., Antonarakis, S. E., Aparicio, S., Arima, T., Arrigoni, L., Arts, R., Asnafi, V., Esteller, M., Bae, J., Bassler, K., Beck, S., Berkman, B., . . . Zipprich, G. (2016). The International Human Epigenome Consortium: a blueprint for Scientific collaboration and Discovery. Cell, 167(5), 1145–1149.
https://doi.org/10.1016/j.cell.2016.11.007

** EXRNA**

The Extracellular RNA Communication Consortium: Establishing Foundational Knowledge and Technologies for Extracellular RNA Research

Das, S., Ansel, K. M., Bitzer, M., Breakefield, X. O., Charest, A., Galas, D. J., Gerstein, M. B., Gupta, M., Milosavljevic, A., McManus, M. T., Patel, T., Raffai, R. L., Rozowsky, J., Roth, M. E., Saugstad, J. A., Van Keuren-Jensen, K., Weaver, A. M., Laurent, L. C., Abdel-Mageed, A. B., . . . Zhang, H. (2019). The Extracellular RNA Communication Consortium: Establishing foundational knowledge and technologies for extracellular RNA research. Cell, 177(2), 231–242. https://doi.org/10.1016/j.cell.2019.03.023

**ENCODE3**

Perspectives on ENCODE
The ENCODE Project Consortium, Michael P Snyder 1,2,✉, Thomas R Gingeras 3, Jill E Moore 4, Zhiping Weng 4,5,6, Mark B Gerstein 7, Bing Ren 8,9, Ross C Hardison 10, John A Stamatoyannopoulos 11,12,13, Brenton R Graveley 14, Elise A Feingold 15, Michael J Pazin 15, Michael Pagan 15, Daniel A Gilchrist 15, Benjamin C Hitz 1, J Michael Cherry 1, Bradley E Bernstein 16, Eric M Mendenhall 17,18, Daniel R Zerbino 19, Adam Frankish 19, Paul Flicek 19, Richard M Myers 18

Abascal, F., Acosta, R., Addleman, N. J., Adrian, J., Afzal, V., Aken, B., Ai, R., Akiyama, J. A., Jammal, O. A., Amrhein, H., Anderson, S. M., Andrews, G. R., Antoshechkin, I., Ardlie, K. G., Armstrong, J., Astley, M., Banerjee, B., Barkal, A. A., Barnes, I. H. A., . . . Myers, R. M. (2020).

Perspectives on ENCODE. Nature, 583(7818), 693–698.
https://doi.org/10.1038/s41586-020-2449-8

Efficient Privacy-Preserving Training Of Quantum Neural Networks Utilizes Mixed States For Data Ensembles

September 21, 2025

https://quantumzeitgeist.com/quantum-neural-training-networks-states-efficient-privacy-preserving-utilizes-mixed-data-ensembles/
good summary of the preprint