Head of Scientific Operations at @_nference

Andover, Massachusetts
Joined December 2009
Matt Hurchik retweeted
By mid-2026, retatrutide is a known entity. Eli Lilly's triple GLP-1/ GIP/glucagon agonist has now completed all four core TRIUMPH phase 3 trials plus a diabetes-focused TRANSCEND trial, and the data is astounding: up to roughly 28%-30% average body weight loss at the highest doses; significant improvements in cholesterol, blood pressure, sleep apnea severity, and knee osteoarthritis pain; and a safety profile that looks similar to semaglutide and tirzepatide. Lilly is expected to file for FDA approval in the first quarter of 2027. For patients with severe, treatment-resistant obesity and life-threatening comorbidities right now, the expanded access program is supposed to help. In practice, the retatrutide expanded access pathway is more of an obstacle than it is a bridge, which potentially pits the doctor against the patient. Read the full commentary by tapping the link. mdsc.pe/4hVBaQu
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Medicare’s $50/month GLP-1 bridge is a major expansion of access. But access without monitoring is incomplete. Today's @_nference study from U.S. health records finds rare frailty signals (malnutritin, dehydration, protein-energy malnutrition, anorexia, sarcopenia) can mark sharply higher risk of death, ICU admissions, and hospitalization across #Tirzepatide (#Zepbound, #Mounjaro) users relative to frailty-developers with other anti-diabetic drugs or bariatric surgery. @Reuters (@NancyLapid) - reuters.com/legal/litigation… Study preprint (peer-review ongoing): preprints.org/manuscript/202…
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Matt Hurchik retweeted
Venky Soundararajan, Co-Founder & Chief Scientific Officer of nference, joined @JudyKShaw on #NYSEFloorTalk to discuss how AI is transforming precision medicine, from cancer diagnosis to heart disease care and beyond | @_nference
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Matt Hurchik retweeted
nference is honored to be recognized as one of the World’s Best #DigitalHealth Companies in 2024 by @Newsweek. Request a demo of our #AI software platform that is transforming healthcare by making biomedical data computable: nference.com/demo newsweek.com/rankings/worlds…
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Matt Hurchik retweeted
Research led by nference and @MadrigalPharma underscores the capacity of the Fibrosis-4 (FIB-4) index to forecast not only liver decompensation, but also cardiovascular events in patients with #NASH. The study highlights that a FIB-4 score as low as 1.0 can indicate significant risk for #cardiovascular events. This finding is in contrast to current guidelines which stratify FIB-4 scores less than 1.3 as low risk and scores up to 2.67 as intermediate risk. This potentially groundbreaking insight for NASH treatment was made possible by the nference AI platform, providing unparalleled access to longitudinal #patientdata from the world’s top medical centers. Leveraging nference cutting-edge language models, researchers are able to rapidly identify patients for their study populations with greater accuracy. Download the poster: images.prismic.io/nference/Z… Request a demo of the nference AI platform: nference.com/demo #Fibrosis #Liver #LanguageModels #PatientIdentification
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Matt Hurchik retweeted
nference language models are able to identify disease warning signs earlier than health care professionals. With our Augmented Curation #AI technology, physicians and researchers can analyze disease signs and symptoms from unstructured clinical text at scale. AL amyloidosis is an excellent example for the value of #AugmentedCuration, as it is frequently misdiagnosed due to its signs and symptoms often mimicking more-common diseases. Also know as primary #amyloidosis, this life-threatening disease results from an abnormality of plasma cells in the bone marrow and while closely related to multiple myeloma, treatment options are far less prevalent. nference collaborated with @JNJInnovMed and the @MayoClinic to study the accuracy of Augmented Curation on over 1,200 AL amyloidosis patients. Our findings demonstrate that the language model-based method matches the quality of manual curation, while being significantly more time-efficient and cost-effective. Going forward, a language model-based method for identifying signs and symptoms from clinical notes could be integrated as part of an AL amyloidosis screening or #EarlyIdentification tool. These tools could reduce the time from the initial presentation of AL amyloidosis to treatment of the disease. Read the peer-reviewed study: doi.org/10.1002/ajh.27019 Request a demo of our AI platform: nference.com/demo #LanguageModels #DiseaseDetection #RealWorldEvidence
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Matt Hurchik retweeted
Through advances in data science, multimodal real-world data (#RWD) is becoming an essential tool for drug developers to identify the most appropriate patients to enroll in clinical trials. With our federated AI platform, #nSights, pharma leaders gain access to millions of longitudinal patient lives across the leading medical institutions, including @MayoClinic and @DukeHealth. With this multimodal data, linked to individual patient records, researchers can rapidly compare the impact of different inclusion and exclusion criteria on patient cohorts and clinical outcomes. Learn more about the nSights platform: nference.com/nsights Request an nSights Demo: nference.com/nsights-demo-fo… #clinicaltrials #drugdevelopment #rwe #federatedlearning #ai
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Matt Hurchik retweeted
We were featured on the @SliceofHC podcast about the power of our federated data network! Learn how we are using multimodal data to make significant strides in life sciences. bit.ly/3t0gjEH
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We're thrilled to announce that Anumana's ECG-AI LEF has received FDA 510(k) clearance! This #SaMD developed with @MayoClinic screens for low left ventricular ejection fraction (#LVEF) in adult patients at risk of heart failure. #CardioTwitter anumana.ai/newsroom/ZRo9DhAA…
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Matt Hurchik retweeted
Thanks to the industry leaders who attended our Roundtable Discussion on unlocking the power of #RWE for the pharma lifecycle! 👏 #Healthcare #HealthTech #ClinicalTrials #MedicalAffairs #LifecycleManagement #healthcaredata #FederatedAI #RWD
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Matt Hurchik retweeted
During #ChildhoodCancerAwarenessMonth, we raise our voices for the brave children battling #cancer and their families. We're committed to advancing oncology research through data-driven insights and innovative technologies, with the aim of bringing hope to young patients.
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Matt Hurchik retweeted
Did you know that nference offers one-stop shopping for healthcare data across all therapeutic areas❓ We unlock the full potential of healthcare data to accelerate discovery and development and optimize lifecycle management. nference.com/nsights #FederatedAI
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Banner Health brings comprehensive, multimodal data from a geographically and ethnically diverse patient population to our network that will provide more potent insight generation, offering researchers the option to examine more inclusive data. businesswire.com/news/home/2… @_nference @BannerHealth
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Matt Hurchik retweeted
Leveraging federated data networks can increase clinical study success rates through feasibility assessments that identify patients who might benefit from the drug, leading to more efficient trials. Learn more about our #federatedAI: nference.com/pharma
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Matt Hurchik retweeted
nference is delighted to welcome @Vanderbilt University Medical Center to our federated network! bwnews.pr/3KbO4It #VUMC #data #FederatedAI
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Matt Hurchik retweeted
On #WorldLungCancerDay, we join the global community in raising awareness about #lungcancer and the need for improved treatments. nference is pioneering AI-driven approaches to accelerate lung cancer research and develop innovative therapies to improve outcomes for patients.
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Matt Hurchik retweeted
#WorldHepatitisDay is an opportunity to increase awareness about this devastating disease. Together, let's work towards a future with better diagnosis, treatments, and prevention. #FederatedAI
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An alternative to Nvidia for computing at scale Condor Galaxy 1 AI supercomputer specifications: 4 exaFLOPS of AI compute at FP16 with sparsity 54 million AI optimized compute cores 82 terabytes of memory 64 Cerebras CS-2 systems Base configuration supports 600 billion parameters, extendable up to 100 trillion. 386 terabits of internal cluster fabric bandwidth 72,704 AMD EPYC Gen 3 processor cores Native hardware support for training with 50,000-token sequence length, no third-party libraries needed. Data parallel programming model with linear performance scaling cerebras.net/blog/introducin…
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Matt Hurchik retweeted
Check out this recent article in the Washington Post about the Mayo Clinic Platform's role in the AI revolution in healthcare. We are honored to collaborate with this organization to help transform healthcare. #data #healthcare #ai #FederatedAI wapo.st/3Ol7Fsl
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