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Rudy Gatta

@rudyshecat.bsky.social

From Ravenna🇮🇹Now in Boston🇺🇸 kidnapped by my crazy wife @menicgiulia👩‍🔬Journalist✍🏼 Knight🎖️Marathoner🏃‍♂️ Family’s recipes @lacucinadelloracolo 🍽️

16 Posts61 Follower46 Folgt
Rudy Gatta@rudyshecat.bsky.social · 4mo ago

Grateful for the encounters this experience makes possible. Today, a lecture by Giorgio Parisi at Harvard University Department of Physics—a clear talk on complexity and a room full of young minds looking ahead.

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Rudy Gatta@rudyshecat.bsky.social · 5mo ago

Spoiler: questo post farà arrabbiare la protagonista della foto. 23 agosto 2022, primo giorno nel nuovo laboratorio. Oggi è Assistant Professor of Medicine at Harvard Medical School. Io orgoglioso. Lei arrabbiata. Perfetto così. Ps. Brava ❤️

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John Barnard, MD@drjohnbarnard.bsky.social · 2y ago

This seems to be a very practical resource. Love it. Important as the body of evidence linking consumption of ultra processed foods to adverse health outcomes is increasingly robust.

MargolisLab@margolislabnyu.bsky.social · 2y ago

Over 50,000 food items, 1,000+ ingredients analyzed, and one mission: helping you choose less processed foods, highlighted in Nature Food: 🍎🛒 @karapedsgastrodoc.bsky.social @menicgiulia.bsky.social www.nature.com/articles/s43...

MargolisLab@margolislabnyu.bsky.social · 2y ago

Over 50,000 food items, 1,000+ ingredients analyzed, and one mission: helping you choose less processed foods, highlighted in Nature Food: 🍎🛒 @karapedsgastrodoc.bsky.social @menicgiulia.bsky.social www.nature.com/articles/s43...

Prevalence of processed foods in major US grocery stores - Nature Food

Information on the degree of processing of food items is key for better consumer choices. GroceryDB is a dataset with more than 50,000 food items sold at major grocery stores in the United States that...

nature.com

Rudy Gatta@rudyshecat.bsky.social · 2y ago

That moment when my wife @menicgiulia.bsky.social on the News, single-handedly wiped 90% of my favorite snacks off the shelf. Guess it’s time to rethink my definition of ‘food.’ 😅 www.fox5ny.com/video/1576217

New tool tells the truth about processed foods

Think your favorite grocery store snacks are healthy? Think again. A Harvard researcher has created a groundbreaking database, TrueFood.tech, analyzing over 50,000 products from major retailers like W...

fox5ny.com

Rudy Gatta@rudyshecat.bsky.social · 2y ago

When I met my wife Giulia Menichetti I was amazed by the work behind a scientific paper. This one took 3 years to be published but just minutes to read. So much happens in 3 years… Check it out ⬇️

Giulia Menichetti@menicgiulia.bsky.social · 2y ago

Estimated reading time: 30 minutes. Time to publication: 3 years 😅 'Prevalence of processed foods in major US grocery stores' is finally published in Nature Food! Read it here: rdcu.be/d55mU Thread coming soon 🧵—after I recover! 😉

Giulia Menichetti@menicgiulia.bsky.social · 2y ago

1/ 🎉 Happy New Year, everyone! 8 years ago, I was brainstorming BIG nutrition questions with colleagues—little did I know it would lead me across fields like cheminformatics, epidemiology, mass spectrometry, stochastic modeling, AI, and Network Science.

Nutrient composition of food. According to the Food and Nutrient Database for Dietary Studies, the consumption of 100 g of raw onion delivers 45 nutritional components, whose amounts (measured in grams) span eight orders of magnitude. Among these 45 nutrients are compounds from different chemical classes, such as copper (a mineral), linoleic acid (a polyunsaturated omega-6 fatty acid, the most typical isomer of fatty acid 18:2), and quercetin (a flavonol). We rank the nutrients in onion in descending order of concentration on the ordinate axis. The gram amount of nutrient n per 100 g is reported as xn.Large-scale analysis of nutrient concentrations in food. (a) The concentration probability distribution Q(𝑥𝑛) for four nutrients across the 4,889 foods reported in NHANES 2009–2010 data, shown on a logarithmic horizontal axis. The four distributions are approximately symmetric on a log scale and have similar width and shape that are independent of the average concentration of the respective nutrient. Each symbol represents a histogram bin. (b,c) The observed common scale of nutrient fluctuations observed in the log space allows us to rescale all nutrients and compare them on a single plot, suggesting a methodology to detect foods with outlier concentrations. The pattern of nutrient outliers in different foods (quantified by a z score in the log space) is informative of the type and extent of processing, as shown here for (b) 100 g of raw onion compared with (c) 100 g of onion rings. (d,e) FoodProX is a random forest classifier that was trained over the nutrient concentrations within 100 g of each food, tasking the classifier to predict its processing level according to NOVA. FoodProX represents each food by a vector of probabilities {pi}, capturing the likelihood of the food being classified as an unprocessed food (NOVA 1), a processed culinary ingredient (NOVA 2), a processed food (NOVA 3), or an ultraprocessed food (NOVA 4). The final classification label, highlighted with a box on the right, is determined by the highest probability. The probability values were rounded to two decimal places.