Gurbakhash Kaur

5.5K posts

Gurbakhash Kaur

Gurbakhash Kaur

@GKaurMD

Multiple Myeloma/CAR-T Specialist at Mount Sinai Hospital | Montefiore & Tufts Alum | #CAR-T #immunotherapy | Views not representative of my employer.

New York City, New York Katılım Nisan 2009
1.1K Takip Edilen1.4K Takipçiler
Gurbakhash Kaur retweetledi
DAVA Oncology
DAVA Oncology@DAVAOnc·
Dr. Adolfo Aleman (@IcahnMountSinai) underscores the role of S100A8/A9 in driving T-cell exhaustion in multiple myeloma linked to poorer response and shorter PFS with CAR-T and bispecifics. Neutralization of S100A8/A9 may restore T-cell activity and enhance outcomes. #DAVAWistler
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David Russler-Germain, MD/PhD
One thing I think about medicine every few months is how certain specialist (such as myself) consciously or subconsciously rely on the intermittent direct expressions of gratitude from patients. But we massively rely on radiology, pathology, IR colleagues (and many others) who operate semi/more “behind the scenes” to the extent it’s unlikely for patients to give the direct praise or know how great of a job they did / how vital they were to a patient’s good outcome (or at least high quality care). To those team members, thank you! (In person gratitude also being expressed, don’t worry!)
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Gurbakhash Kaur retweetledi
DAVA Oncology
DAVA Oncology@DAVAOnc·
BPd maintenance is being positioned as a strategic shift in high-risk MM post-ASCT, deep responses (≥CR ~68%), high MRD negativity, and early durability signals demonstrated. Presented by Dr. @richaparikh36 from @WinshipAtEmory at #DAVAWhistler
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Gurbakhash Kaur retweetledi
DAVA Oncology
DAVA Oncology@DAVAOnc·
Dr. @ScottG_MD @CityofHope highlights AZD0120's remarkable NDMM data: 100% ORR, 97% sCR & 83% 12-month sustained MRD-negativity with no progression or death at median 36.5 months follow-up. #DAVAWhistler
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Gurbakhash Kaur retweetledi
DAVA Oncology
DAVA Oncology@DAVAOnc·
@DoctorAkrishnan from @cityofhope highlights Talquetamab maintains durable responses even with dose reductions, with manageable skin and nail toxicities and emerging combination strategies shaping future R/R Multiple Myeloma treatment. #DAVAWhistler
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Gurbakhash Kaur retweetledi
DAVA Oncology
DAVA Oncology@DAVAOnc·
Dr. Benjamin Puliafito @MassGenBrigham introduces TriPRIL CAR-T, a novel APRIL-based dual BCMA/TACI-targeting therapy in R/R MM. Phase 1 data shows ORR 85%, CR 54%; including 75% ORR in prior BCMA CAR-T–exposed pts. No Grade ≥3 CRS/ICANS. Dose expansion ongoing. #DAVAWhistler
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Gurbakhash Kaur retweetledi
DAVA Oncology
DAVA Oncology@DAVAOnc·
BCMA strategies in AL by Dr Sandra Mazzoni @ClevelandClinic • Belantamab: ORR ~51% • NXC-201 CAR-T: ↑ responses (~96%), ↑ MRD-neg • ALACRITY: dual-target CAR-T under study • Real-world CAR-T: manageable CRS, ↓ neurotoxicity Field moving toward earlier use. #DAVAWhistler
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DAVA Oncology
DAVA Oncology@DAVAOnc·
CELMoD + daratumumab for deep, sustained remission post-transplant! Dr. @Amyloid_Planet @karmanoscancer reviews iberdomide + dara in post-ASCT MM maintenance. IBEX, COMMANDER & Phase 3 EXCALIBER-Maintenance vs. lenalidomide actively enrolling. #DAVAWhistler
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Gurbakhash Kaur retweetledi
DAVA Oncology
DAVA Oncology@DAVAOnc·
Deep, durable remissions & a clean safety profile. Dr. @ForsbergMD @ColoradoBlood showcases iMMagine-1 Phase 2 data on anito-cel (BCMA-directed CAR-T) in RRMM: ORR 96%, sCR/CR 74%, MRD-neg 95%, 24-mo PFS 62%. Global phase 3 IMMagine-3 study underway. #DAVAWhistler
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Gurbakhash Kaur retweetledi
Vincent Rajkumar
Vincent Rajkumar@VincentRK·
AI is not intelligent. It’s analyzing and stringing together content we generated and repackaging it. Yes, we can use AI wisely to our benefit, and make our lives easier. Like if I’m a doctor, and I need to solve a computer or coding problem, AI is immensely useful and incredibly fast and efficient. But I’m not kidding myself that it’s intelligent. It’s finding and linking and presenting to me information I don’t know that other intelligent humans who do know have generated before.
Hedgie@HedgieMarkets

🦔A researcher invented a fake eye condition called bixonimania, uploaded two obviously fraudulent papers about it to an academic server, and watched major AI systems present it as real medicine within weeks. The fake papers thanked Starfleet Academy, cited funding from the Professor Sideshow Bob Foundation and the University of Fellowship of the Ring, and stated mid-paper that the entire thing was made up. Google's Gemini told users it was caused by blue light. Perplexity cited its prevalence at one in 90,000 people. ChatGPT advised users whether their symptoms matched. The fake research was then cited in a peer-reviewed journal that only retracted it after Nature contacted the publisher. My Take The researcher made the papers as obviously fake as possible on purpose. The AI systems didn't catch it. Neither did the human researchers who cited it in real journals, which means people are feeding AI-generated references into their work without reading what they're actually citing. I've covered the FDA using AI for drug review, the NYC hospital CEO ready to replace radiologists, and ChatGPT Health launching this year. All of that is happening in the same environment where a condition funded by a Simpsons character and endorsed by the crew of the Enterprise was being presented as emerging medical consensus. The people making these deployment decisions seem to believe the pipeline from research to AI to patient is more supervised than it actually is. This experiment suggests it isn't supervised much at all. Hedgie🤗 nature.com/articles/d4158…

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Gurbakhash Kaur retweetledi
DAVA Oncology
DAVA Oncology@DAVAOnc·
Talquetamab demonstrates strong bridging efficacy before CAR-T, as @GkaurMD from @MountSinaiNYC reports ORR 71% with rapid responses (~23 days), enabling 89% of patients to proceed to CAR-T and achieving 88% ORR post-infusion. #DAVAWhistler
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Gurbakhash Kaur retweetledi
DAVA Oncology
DAVA Oncology@DAVAOnc·
Scott Goldsmith, MD @ScottG_MD @CityofHope reviews BCMA bispecific antibodies in NDMM: MajesTEC-5 shows 100% ORR & MRD negativity with Tec-Dara induction; LINKER-MM4 & MagnetisMM-6 add promising early data across TE & TIE settings. #DAVAWhistler
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Gurbakhash Kaur retweetledi
DAVA Oncology
DAVA Oncology@DAVAOnc·
Peter Forsberg, MD @ForsbergMD @ColoradoBlood reviews the expanding elranatamab program: MagnetisMM-6 shows 97% ORR with Elra+Dara+Len in TI-NDMM, plus novel combos with iberdomide (MM-30) & upcoming FASTER and ElLen trials in TE-NDMM. #DAVAWhistler
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Gurbakhash Kaur retweetledi
DAVA Oncology
DAVA Oncology@DAVAOnc·
Alfred Garfall, MD @AlGarfall @PennMedicine @PennCancer examines frontline CAR-T in myeloma: consolidation data from CARTITUDE-2 & BMT CTN 1902 show deep MRD negativity, but TCE-based regimens like MajesTEC-5 offer comparable efficacy with greater accessibility. #DAVAWhistler
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Hamza Hashmi
Hamza Hashmi@hhashmi87·
Quadruplets keep delivering in NDMM: EMN24 (IsKia): Isa-KRd vs KRd → higher MRD-negativity (77% vs 67%) and deeper MRD-10⁻⁶ responses (68% vs 48%), with durable MRD and manageable toxicity. PFS still maturing. #MultipleMyeloma #Myeloma #medtwitter #MMSM rdcu.be/fbVOG
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