Ahmed Khattak

@PED7 @ClatterbridgeCC @NHS Honestly wishing all the best to Your father and your family.💙💙💙

My dad started chemo today after discovering not one but two different cancers after literally being illness free his entire life. All I can say is thank you to the wonderful staff @ClatterbridgeCC and thank our stars we have the @NHS 💙

lnkd.in/eRKkDMKx Proud to contribute to #ResearchDay @StGeorgesU Speaking on #RoboticSurgery and #Telesurgery, grounded in experience @GSTTnhs @GuysUrology & @celebrationgri. The future of surgery is connectivity and global reach.

@areebaahmad789 It can be really useful : First instil Intravesical Hexaminolevulinate → this accumulates in tumour cells → Blue light → malignant areas fluoresce red Improves detection of CIS and small lesions vs white light

@ASKhattak7 This is really helpful info. I didn't know that before. How does it actually work in daily life?

Excellent work

Spot on! Exactly why we need @ProstateUK @ProstateUKProfs funded IP12-AVIDITY RCT @IP_London

@PED7 Great show, best thing marvel have done in years

Amazing news

@donhutch4 Unfortunately this is true but I would say it was a vocal minority. Madness either way

You did about 3/4 months ago mate. Fans calling out D Moyes,I couldn’t believe my ears mate

@PED7 Such sad news, thinking of you and your family at this time 💙

RIP our magnificent boy Loki 💚🐾🌈

@CoppellRob @bernardooooV3 Agreed

How’s this not a penalty?? x.com/i/status/20293…

Help Dr Shabi Ahmad Bring Mobile Healthcare to Pakistan’s Most Underserved Communities - Indus Health Network UK indushospital.org.uk/fundraiser/sha…

@toffeedoug @PED7 That’s an unbelievable deal

@PED7 Or get Alex Jimenez on loan from AC Milan with an option to buy!

Honestly baffles me how Bournemouth can find a player like Rayan and we make excuses for not being able to find quality.

@PED7 3 words : Premier League Proven

@MysteriosoX My friend lived on this road, never been so scared to park my car

*laughs in Bristolian*

@J_Barlow97 I don’t think we even paid that much for him tbh

No matter what situation you accept that bid. We paid £20M for him

**AlphaGenome** is basically an **AI "reader"** created by Google DeepMind that looks at a long piece of DNA (up to 1 million DNA letters / bases at once) and predicts a huge number of things that happen in a cell because of that DNA sequence. ⭐️In very simple terms — what does it actually do? ➡️You give it a stretch of DNA text (A, C, G, T), something like: `ATCGGACTAGCT...` (1,000,000 letters long) It tells you — for that exact piece — predictions about **thousands** of different molecular events, including: - Which spots look like they will be "open" chromatin (easy for the cell machinery to reach) - Where certain proteins (transcription factors) will probably stick to the DNA - How strongly (or weakly) nearby genes will be turned on / off - Whether RNA will be made from certain parts - How RNA will be spliced (cut & joined in different ways) - Roughly how parts of the DNA might loop around and touch each other - … and many more tracks (some models predict ~5,000 different data tracks at once) 👀Most impressively: if you change **just one letter** (a mutation / variant), it can re-predict everything and show you exactly which of those thousands of things get disturbed — and by roughly how much. ⭐️Why is this a big deal? ➡️About **98%** of our DNA does **not** code for proteins — it's the control software that decides: - when & where genes should be active - how much protein gets made - in which cell type - at which time in development or stress This 98% is often called "**genomic dark matter**" or non-coding DNA. Until recently we were quite bad at reading what most of it actually does. Previous best models could only handle short pieces (~few thousand bases) or could only predict a handful of things at once. AlphaGenome is: - Much longer context (1 Mb = 1,000× longer than many earlier models) - Much broader (thousands of outputs instead of dozens) - Better accuracy on most benchmarks — especially when predicting the **effect of disease-related mutations** ⭐️That matters because: - The vast majority of disease-linked genetic variants (GWAS hits, cancer drivers, rare diseases) sit in this non-coding 98% - Until now we often had no good way to tell whether a variant found in a patient is actually doing something harmful — or was just harmless noise - AlphaGenome gives researchers a fast "in silico" (computer) way to prioritise which variants are most likely functionally important → helps decide which ones to test in the lab ➡️Real-world impact examples (already happening or expected) - Faster discovery of **causal variants** in cancer, heart disease, autoimmune disorders, neurodegeneration, etc. - Better interpretation of personal genomes / rare-disease diagnostics - Helping design synthetic DNA (gene therapy vectors, cell therapies, synthetic biology) - Understanding gene regulation differences between species or between healthy vs diseased cells It's **not** perfect yet — long-range (multi-megabase) looping, some very cell-type-specific effects, and extremely rare events are still challenging. But it's currently one of the strongest unified "DNA → molecular function" predictors available. Think of it as **DeepMind's "AlphaFold moment" for gene regulation** — after AlphaFold cracked protein shapes, AlphaGenome is trying to do something similar for the regulatory grammar written in non-coding DNA. The peer-reviewed Nature paper came out today (28 Jan 2026), and DeepMind just open-sourced the model weights/code for non-commercial research use

We wish all of our esteemed members, and public alike, a very Merry Christmas and a prosperous New Year🎄 Please note: The BAUS HQ office in London will close during the festive period on Tuesday 23 December, and will not re-open until Friday 2 January 2026.

⚠️Submission deadline for BAUS-related snapshot audits - BOOMERANG - extended until 27 Dec inclusively. 👀Investigation & Referral of Women with recurrent urinary Tract Infection using recent guidance Relevant info sent to all Clinical Audit Leads. 📲Scan the QR code for more

ST3 interviews on the horizon? 👀 The @BSoT_UK ST3 Interview Prep Course 2026 is now open. 🎯 Limited places; first-come, first-served ⏳ Deadline: 09:00 | 19 Dec 2025 🔗 Apply here or by scanning QR code baus.org.uk/professionals/…

As we mark and recognise Hanukkah, our thoughts and prayers are with all those impacted by the horrific act of terror at Bondi Beach. Hate will never win.

@conradjsharp 😂😂😂😂😂😂😂

All the mistakes Keane as made over his Everton career and that’s what he gets slapped for

BOOMERANG🪃 opens today. Please 👀for patients with rUTI in your clinics 🙏🏻 We ask that 5-10 patients per unit complete a RUTIIQ questionnaire . Copies sent to audit leads. Good luck!🤞@BAUSurology @RobCalvert18 @EndoLuminalEndo @Mehwash_Nadeem @Bushra_aq91 @RobertGeraght16