Nutrition Round Table | Get Involved | Harvard T.H. Chan School of Public Health The Harvard Chan School Nutrition Round Table (NRT) was founded to help bridge the gap between scientific insights and sustainable changes in food policy,

Read more about @hsph.harvard.edu Nutrition Round Table here hsph.harvard.edu/alumni-frien...

Read more about #NNDC2026 here www.nutrientdataconf.org

Join us: hnrca.tufts.edu/seminars/mon...

Last week: #NNDC2026 in DC.
Tomorrow: @hsph.harvard.edu Nutrition Round Table.
Next Monday: I’ll be speaking at #HNRCA @tufts.edu — link in comments.
Strong momentum in food data science. Good to see this community finally scaling!🤗

Last but not least, a big thank you to our funders #NHLBI, @americanheart.bsky.social, @rockefellerfdn.bsky.social , and supporting institutions @mgbresearch.bsky.social, @harvardmed.bsky.social, @nunetsi.bsky.social

Congratulations to these young scientists for their hard work! Looking forward to the discussions at #NetSci.

“𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐧𝐠 𝐜𝐨𝐦𝐩𝐚𝐫𝐚𝐭𝐢𝐯𝐞 𝐩𝐫𝐨𝐭𝐞𝐢𝐧 𝐛𝐢𝐨𝐥𝐨𝐠𝐲 𝐰𝐢𝐭𝐡 𝐧𝐞𝐭𝐰𝐨𝐫𝐤 𝐦𝐞𝐝𝐢𝐜𝐢𝐧𝐞 𝐭𝐨 𝐞𝐥𝐮𝐜𝐢𝐝𝐚𝐭𝐞 𝐭𝐡𝐞 𝐭𝐡𝐞𝐫𝐚𝐩𝐞𝐮𝐭𝐢𝐜 𝐫𝐨𝐥𝐞 𝐨𝐟 𝐩𝐥𝐚𝐧𝐭 𝐜𝐡𝐞𝐦𝐢𝐜𝐚𝐥𝐬 𝐟𝐨𝐫 𝐜𝐚𝐫𝐝𝐢𝐨𝐯𝐚𝐬𝐜𝐮𝐥𝐚𝐫 𝐝𝐢𝐬𝐞𝐚𝐬𝐞” presented by Dr. Michael Sebek
drive.google.com/file/d/1lc-7...

“𝐅𝐫𝐨𝐦 𝐔𝐥𝐭𝐫𝐚-𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐞𝐝 𝐅𝐨𝐨𝐝𝐬 𝐭𝐨 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠 𝐏𝐚𝐭𝐡𝐰𝐚𝐲𝐬: 𝐀 𝐍𝐞𝐭𝐰𝐨𝐫𝐤-𝐀𝐰𝐚𝐫𝐞 𝐈𝐧𝐟𝐞𝐫𝐞𝐧𝐜𝐞 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤” presented by Dr. @gordanaispirova.bsky.social
drive.google.com/file/d/1OHdG...

“𝐀𝐈𝐏𝐫𝐨𝐱𝐢𝐌𝐞𝐝: 𝐀𝐈-𝐏𝐨𝐰𝐞𝐫𝐞𝐝 𝐍𝐞𝐭𝐰𝐨𝐫𝐤 𝐏𝐫𝐨𝐱𝐢𝐦𝐢𝐭𝐲 𝐌𝐨𝐝𝐞𝐥𝐢𝐧𝐠 𝐟𝐨𝐫 𝐓𝐡𝐞𝐫𝐚𝐩𝐞𝐮𝐭𝐢𝐜 𝐃𝐢𝐬𝐜𝐨𝐯𝐞𝐫𝐲 𝐚𝐜𝐫𝐨𝐬𝐬 𝐏𝐡𝐚𝐫𝐦𝐚𝐜𝐨𝐥𝐨𝐠𝐢𝐜𝐚𝐥 𝐚𝐧𝐝 𝐍𝐮𝐭𝐫𝐢𝐭𝐢𝐨𝐧𝐚𝐥 𝐂𝐡𝐞𝐦𝐢𝐜𝐚𝐥 𝐒𝐩𝐚𝐜𝐞𝐬” presented by Dr. Hao Xu
drive.google.com/file/d/17gJD...

“𝐅𝐫𝐨𝐦 𝐌𝐨𝐥𝐞𝐜𝐮𝐥𝐚𝐫 𝐍𝐞𝐭𝐰𝐨𝐫𝐤𝐬 𝐭𝐨 𝐃𝐢𝐞𝐭: 𝐈𝐝𝐞𝐧𝐭𝐢𝐟𝐲𝐢𝐧𝐠 𝐒𝐲𝐧𝐞𝐫𝐠𝐢𝐬𝐭𝐢𝐜 𝐕𝐢𝐭𝐚𝐦𝐢𝐧 𝐄𝐟𝐟𝐞𝐜𝐭𝐬 𝐢𝐧 𝐌𝐲𝐨𝐜𝐚𝐫𝐝𝐢𝐚𝐥 𝐈𝐧𝐟𝐚𝐫𝐜𝐭𝐢𝐨𝐧” presented by Dr. Andrés Aldana González
drive.google.com/file/d/1nnJI...

“𝐌𝐨𝐥𝐞𝐜𝐮𝐥𝐚𝐫 𝐧𝐞𝐭𝐰𝐨𝐫𝐤𝐬 𝐞𝐥𝐮𝐜𝐢𝐝𝐚𝐭𝐞 𝐭𝐡𝐞 𝐞𝐩𝐢𝐠𝐞𝐧𝐞𝐭𝐢𝐜 𝐥𝐚𝐧𝐝𝐬𝐜𝐚𝐩𝐞 𝐨𝐟 𝐟𝐨𝐨𝐝” presented by Dr. @salvod-lombardo.bsky.social
drive.google.com/file/d/1cHop...

❄️Snow blizzard day = good moment for a team update❄️
I am very proud of the work done by this cohort of postdocs. Of the five abstracts we submitted to the @netscisociety.bsky.social Conference, all were accepted, with three contributed talks and two lightning talks.
👇 Abstracts below in the 🧵

@mgbresearch.bsky.social @harvardmed.bsky.social @nunetsi.bsky.social

Revealing interactions between microbes, metabolites, and dietary compounds using genome-scale analysis - Microbiome Background The role of gut microbiome in predicting diet response and developing personalized dietary recommendations has been increasingly recognized. Yet, we still lack comprehensive, genome-based i...

To understand how food molecules shape the gut #microbiome and human health, we need to go beyond species abundance and adopt a mechanistic, system-level view powered by #NetworkScience
Happy to share our first concrete step in this direction:
📄 shorturl.at/XkyUM

Happy to share our recent review in
@ai.nejm.org
summarizing the discussions from the master class “Artificial Intelligence and Network Medicine: Path to Precision Medicine”, sponsored by the #Menarini Foundation last year in Milan

📣 🎙️ Recordings from #RiDaysEU: "Making the EU the most attractive place for Life Science" available here 👇
www.youtube.com/live/XWen3QB...

#LifeSciences
#Food2030EU
#OneHealth
#AIforHealth

@eu-life.bsky.social
@ec.europa.eu
@erc.europa.eu

A few shots from “Making the EU the most attractive place for Life Sciences” at the #EU Research & Innovation Days 2025. Looking forward to the next R&I agenda for the food systems! #RiDaysEU @eu-life.bsky.social @ec.europa.eu @erc.europa.eu

@eu-life.bsky.social

Join us for the European Research & Innovation Days 2025 (16–17 Sept, Brussels & online). I will be speaking at the plenary “Making the EU the Most Attractive Place for Life Sciences.

Register here 👇
🔗 research-innovation-community.ec.europa.eu/events/34Hci...
@ec.europa.eu @erc.europa.eu

Thank you, Cassandra, for having me on the Foodie Pharmacology Podcast!
👉 👇 Listen to our chat here 👇 👈
www.podbean.com/pw/pbblog-zi...

McCance Seminar Series: Giulia Menichetti, PhD YouTube video by MassGeneralHospital

🎥 My recent talk "AI for Food Processing" is now available online as part of the Mass General McCance Center for Brain Health Seminar Series.

👇👇👇
www.youtube.com/watch?v=K3UQ...

@mgbresearch.bsky.social

This was fun! Today on @koreajoongangdaily.com

www.joongang.co.kr/article/2535...

Sure :) This was for general audience

Nutrition Dark Matter, Ultraprocessed Foods and the Chemical Complexity of What We Eat Nutrition dark matter refers to the 139,000+ compounds in foods that researchers are just beginning to learn more about.

🧪 Last week @mgbresearch.bsky.social visited our Lab to talk about the “Nutrition Dark Matter” and why food chemistry might matter more than calories.
🔗 Read the Q&A:
mgriblog.org/2025/06/13/n...

@harvardmed.bsky.social
@gordanaispirova.bsky.social
@salvod-lombardo.bsky.social

Happening Today @ Precision Nutrition Forum and PREDIMED Omics Symposium 2025
@hsph.harvard.edu
👏@gordanaispirova.bsky.social 👏

🫵 Check Bonnie's Poster Today at #Nutrition2025
@nutritionorg.bsky.social 👇
"Associations of Polyunsaturated Fatty Acids With Smoking-Related Epigenetic Alterations" cdmcd.co/d6mPBa

🏛️👩‍💻@mgbresearch.bsky.social @harvardmed.bsky.social @nunetsi.bsky.social @gordanaispirova.bsky.social

Example instance from the Open Food Facts dataset used in the training of the predictive models. The product name, ingredient list, and full nutrient panel (not fully shown here) are used to construct the input sentences for the LLM-based models. The nutrient panel shown includes the 11 nutrients used to train the FoodProX-based models. The last two quantitative indicators are used in the explanatory models. The number of additives is also included as an additional feature in one variant of the FoodProX model.

𝑊ℎ𝑎𝑡 𝑑𝑜𝑒𝑠 𝑖𝑡 𝑟𝑒𝑎𝑙𝑙𝑦 𝑚𝑒𝑎𝑛 𝑓𝑜𝑟 𝑎 𝑓𝑜𝑜𝑑 𝑡𝑜 𝑏𝑒 𝑝𝑟𝑜𝑐𝑒𝑠𝑠𝑒𝑑?
We looked for answers through data science. Using multimodal AI models, we show the opportunities and limitations of current approaches.
📄 Read: arxiv.org/abs/2505.17087
💻 Code: github.com/menicgiulia/...

Gordana Ispirova, Michael Sebek, Giulia Menichetti
Informatics for Food Processing
https://arxiv.org/abs/2505.17087