Sreyoshi Alam

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Sreyoshi Alam

Sreyoshi Alam

@Sreyoshi910

Commonly referred to as-The one with the difficult name. Third culture kid. Fellow Kidney bean

Katılım Ekim 2012
1.1K Takip Edilen428 Takipçiler
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Sreyoshi Alam
Sreyoshi Alam@Sreyoshi910·
The service you do for others is the rent you pay for your room here on Earth - Muhammad Ali
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Joel M. Topf, MD FACP
Joel M. Topf, MD FACP@kidney_boy·
You ever read a title and feel it reach through your consciousness, tap you on the shoulder, and whisper, "It's all been worth it. Expertise matters."
Joel M. Topf, MD FACP tweet media
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Sreyoshi Alam
Sreyoshi Alam@Sreyoshi910·
Nothing prepares you for a wrong page after 10 pm when you’re not even on call... My baby is awake, my soul is not- please advise. PS - Now accepting advice on how to put my baby back to sleep.
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Dr. Filippo Cademartiri
Dr. Filippo Cademartiri@FCademartiri·
🚨 Can echocardiography really exclude HFpEF? New data say: not reliably. A large, invasive hemodynamics–validated study tested the updated 2025 ASE diastolic function grading algorithm in patients with confirmed HFpEF — and the results are eye-opening. 👀 🔍 Key finding: Among ambulatory patients with invasively proven HFpEF, ~68% were classified as “normal” or Grade 1 diastolic dysfunction by the new ASE criteria. Yet >60% of these patients already had elevated filling pressures at rest, and many worsened dramatically with exercise. 🏃‍♂️ Stress echo underperformed: In patients labeled Grade 1 (where exercise testing is recommended), the ASE 2025 stress criteria detected HFpEF in only ~10% — a false-negative rate >90%. Even under “best-case” assumptions, sensitivity remained poor. 🏥 Volume status matters: Diastolic grades shifted substantially between decompensated and recompensated states. After diuresis, over 50% of hospitalized HFpEF patients reverted to normal or Grade 1, highlighting how load-dependent and unstable diastolic grading can be. 📉 Diagnostic performance: Overall discrimination for HFpEF vs non-cardiac dyspnea was modest (AUC ~0.61) — inferior to probability-based tools like H₂FPEF, especially when combined with functional testing. ⚠️ Prognostic paradox: Patients with HFpEF labeled “normal” or Grade 1 still had a ~5-fold higher risk of death or HF hospitalization compared with controls. 💡 Bottom line: 🛑 Normal diastolic function ≠ no HFpEF. Echocardiography remains essential — but diastolic grades must be interpreted within pretest probability frameworks, not used in isolation to rule out disease.
Dr. Filippo Cademartiri tweet media
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Jason Ryan
Jason Ryan@jasonryanmd·
I like teaching high-achieving students, but my favorite students are the overwhelmed, anxious, average to below-average learners who doubt themselves. Medicine doesn’t need doctors steeped in self-doubt. My favorite compliment you is: "You helped me believe I could do it."
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Sreyoshi Alam
Sreyoshi Alam@Sreyoshi910·
I always believed mom brain was a myth until I became a mom 😭😭
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Mayo Clinic Nephrology
Mayo Clinic Nephrology@MayoClinicNeph·
👏 Honored to celebrate Dr. Vesna D. Garovic, MD, PhD, FASN, Chair of @MayoClinicNeph for delivering The Sharon Silbiger, MD, Endowed Lectureship at ASN Kidney Week 2025 in Houston. “Hypertension and Pregnancy” @ASNKidney Kidney Week 2025 @GarovicVesna
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Wisit Cheungpasitporn MD FACP | FASN | FAST
😃😊💙 As a member of the American Society of Nephrology @ASNKidney AI Steering Committee and ASN Kidney News editorial team @asnpublications , I’m thrilled to see our editorial featured at the very top of ASN In the Loop 🔁 #AI ✨ This feature highlights how AI is transforming nephrology — from patient summaries and pathology analysis to dialysis performance, AKI/CKD diagnosis, and kidney transplantation. 📢 Looking forward to the upcoming ASN AI position paper and the Kidney Week 2025 plenary session focused on responsible AI use to improve kidney care and patient outcomes. #AI #Nephrology #ASN #KidneyCare #Innovation 📖 In this American Society of Nephrology Kidney News September 2025 article, “Algorithms to Action: AI Expands Application in Nephrology” Dr. Navdeep Tangri @NavTangri , Dr. Len Usvyat , I, and more AI experts share how artificial intelligence is transforming nephrology — from CKD and dialysis prediction models to transplant matching, digital pathology, and real-time EHR alerts — while calling for nephrologists to lead responsible adoption, and validate models in real-world care. • ✔️Nephrology is AI-ready: nephrology is a numbers-driven field (especially dialysis), making it ideal for algorithmic approaches. • 🧬 Data-rich opportunity: Nephrology’s wealth of MRIs, ultrasounds, biopsies, pathology, and lab data—perfect for training AI models. • 🏥 Real-world deployment: 36+ Fresenius AI algorithms that run nightly to predict hospitalizations and guide pre-emptive clinical interventions. • 🔬 Key AI use cases: Ambient scribes for patient summaries, AI-triaged portal messages, digital pathology slide analysis, dialysis performance prediction, CKD risk detection, and transplant decision support. • 🌍 Future directions: AI will enhance nephrology education, integrate social determinants of health, and reduce disparities by making precision kidney care more equitable. Link: kidneynews.org/view/journals/… Special thanks to Dr. Kenar Jhaveri @kdjhaveri 🙏🏻🙂 kidneynews.org/view/journals/…
Wisit Cheungpasitporn MD FACP | FASN | FAST tweet media
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Sreyoshi Alam
Sreyoshi Alam@Sreyoshi910·
Tip to applicants: Ask the current residents or fellows about parking situation during your interviews, you will learn a lot about how trainees are viewed based on that
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Wisit Cheungpasitporn MD FACP | FASN | FAST
We are thrilled 🙂🙏🏻 to share our most recent published article: “Advancing Personalized Medicine in Digital Health: The Role of Artificial Intelligence in Enhancing Clinical Interpretation of 24-Hour Ambulatory Blood Pressure Monitoring.” journals.sagepub.com/doi/10.1177/20… A huge congratulations 🎉 to our Nephrology fellow @Sreyoshi910 for taking the lead on this impactful project! Grateful for the valuable contributions from @OscarGarciaMD @jingmiao2019 and the co-mentorship provided by @k1dneyMD Proud to see our @MayoClinicNeph team’s efforts advancing personalized medicine through innovative AI applications in nephrology and digital health! 🙂🙏🏻 @digitalhealth2 #AI #DigitalHealth #Nephrology #Hypertension
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Mayo Clinic Nephrology
Mayo Clinic Nephrology@MayoClinicNeph·
Train with world-class experts in treating patients with malignant and pre-malignant conditions who are facing nephrological issues in our Onco-Nephrology Advanced Nephrology Fellowship. 1 position remaining. Apply for July 1, 2025. #onconephrology college.mayo.edu/onconeph
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Sreyoshi Alam
Sreyoshi Alam@Sreyoshi910·
Excellent hyponatremia and hyperkalemia teaching cases by Dr. Luft this morning! @MayoClinicNeph
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