Shaghayegh Soudi - PhD, MSc

Research Scientist at @StanfordRadOnc
#CancerGenomicsEpigenomics
#TumourEvolution
#softtissuesarcoma
#Bioinformatics

🪐🔭
🚴🏻‍♀️🧘🏻‍♀️🏃🏻‍♀️🎾
🎹

[Reads with Ravi @readswithravi]

The Paradox of Knowledge:

[Ali @RiseForFreeIran]

@RezaVaisi @elonmusk @elonmusk Please be the voice of us Iranians. #DigitalBlackOutIran

[Morad Vaisi @RezaVaisi]

@elonmusk
Dear Elon,
In these critical days, the people of Iran need internet access. Please help them stay connected as they struggle to reclaim their country from the rule of the mullahs. Stand with the Iranian people. Iran will not forget its friends.

[Jeffrey West @mathoncbro]

Artificial intelligence agents in cancer research and oncology
- Truhn 2026, Nature Reviews Cancer

[Math Files @Math_files]

Math of Life

[Marcin Imieliński @skimomiks]

latest from the lab --> how we used whole genome passenger somatic mutation patterns 🧬 to trace the origins of never-smoker lung adenocarcinoma (LUAD) to cells of the proximal lung 🫁 @NatureGenet https://t.co/jqNdVSdZ9z 1/🧵

[Eric Topol @EricTopol]

Why we need big time investment in A.I. for accelerating science. New @ScienceMagazine editorial https://t.co/G2mMvHQwhQ

[Aastha @aastha_mhaske]

🎯 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 + 𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 + 𝗔𝗜 — 𝗔𝗹𝗹 𝗖𝗵𝗲𝗮𝘁 𝗦𝗵𝗲𝗲𝘁𝘀!

A complete bundle of cheat sheets from Stanford and MIT, covering everything from ML fundamentals to advanced AI concepts. 🚀

💡 Perfect for students, developers & AI enthusiasts who want quick, clear references while studying or building projects.

FREE Download for the first 500 people!📘

1️⃣ Like & Repost
2️⃣ Comment “AI”
3️⃣ Follow (so I can DM you)

Let’s make learning AI easier, one cheat sheet at a time. 🤖

#MachineLearning #DeepLearning #AI #Giveaway #Stanford #MIT #CheatSheets #AIEducation

[Charles Swanton @CharlesSwanton]

Proud to share our first TRACERx cancer study integrating epigenomics + genomics in NSCLC as co-drivers of tumor evolution.
Led by not me but by the wonderful @NnennayaKanu, @F_gimenoval, @ccastignani6, @VanLooLab

[Eric Topol @EricTopol]

Our new @CellCellPress review on the generative A.I. era in medicine @pranavrajpurkar
https://t.co/5fhwpqFzPP

[Eric Topol @EricTopol]

A new way to get very early detection of colon cancer using cell-free RNA (instead of DNA) @NatureBiotech
https://t.co/S5XErpdPTB

[Cancer Cell @Cancer_Cell]

Online Now: Immune evolution in pre-invasive lung adenocarcinoma https://t.co/ZlUoCONGjj

[Razia Aliani @RaziaAliani]

3-tier approach that help you maintain integrity when using AI for research ⤵️
(Retweet 𝘵𝘰 𝘱𝘳𝘰𝘮𝘰𝘵𝘦 𝘦𝘵𝘩𝘪𝘤𝘢𝘭 𝘈𝘐 𝘶𝘴𝘦)

— TIER 1 (Safe):
Grammar checks, readability improvements, language translation

— TIER 2 (Careful):
Outlining from YOUR content, summarizing YOUR ideas, improving clarity of YOUR drafts

— TIER 3 (Avoid):
Writing de novo text, generating references, data interpretation

Remember: AI should help polish YOUR ideas, not create them!

The biggest lesson? Ask yourself 4 questions before using AI in research:

— Are the primary ideas, insights and analysis still mine?
— Am I maintaining my core research skills?
— Have I verified all content is accurate and bias-free?
— Have I disclosed exactly how AI was used?

If you answer "no" to any of these, rethink your approach.

1/5

[Cancer Grand Challenges @CancerGrand]

In Discover, @CharlesSwanton reflects on a transformative year for #CancerGrandChallenges and shares why tackling cancer as a systemic disease is key to progress.

EOIs are now open for seven new challenges.
📅 Deadline: 18 June
🔗 https://t.co/8I2O5W7PPY

#CancerResearch

[Charles Swanton @CharlesSwanton]

Fantastic paper from @BenCreelan lab showing subclonal neoantigen loss in tumours progressing on TIL therapy highlighting importance of targeting clonal neoantigens - watch this space for Darwin2 trial reported @myESMO by @crispinhiley @NickyMcGranahan

[Ming "Tommy" Tang @tangming2005]

5 tools to visualize genomic datasets 🧵
1. Karyoploter https://t.co/E6rhYesEpT

[Science Magazine @ScienceMagazine]

"Many scientists know from the start that they want to be academic researchers. But for others the path unfolds gradually, with spurts of doubt and uncertainty along the way. In a way, that’s fitting." #ScienceWorkingLife https://t.co/L53U6XSult

[Ming "Tommy" Tang @tangming2005]

Two tools for plotting genomics data:

figeno: Tool for making genomics figures in #python. https://t.co/Pe9dRxCCZO

[Nature Reviews Cancer @NatureRevCancer]

NEW content online! Challenges of small cell lung cancer heterogeneity and phenotypic plasticity https://t.co/krcamYiEdH

[Rahul Satija @satijalab]

Interested in single cell genomics but need help getting started? Check out the full agenda for our Single Cell Genomics Day on Friday 4/25. All talks will be live-streamed (no registration required) at https://t.co/JqaO6urVPF