nference

The era of the #computable human is here! 🚀

Join @nference at the 1st Bio-X Convergence this Monday, June 16 at the Hyatt Place in Boston / Seaport.

Be part of a historic moment and witness the launch of #TheComputableHumanProject.

Learn more: nference.com/events/bio-x-c…

#HealthTech #AIAgents #Boston #AgenticAI

nference was named one of the 50 best healthcare #DataAnalytics companies in the US, per @Newsweek.

Thank you to @BeckersHR for highlighting the recognition: beckershospitalreview.com/digital-health…

Request a demo of our AI software platform: nference.com/demo

#RealWorldEvidence #AI

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/world…

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/ZfHZV…

Request a demo of the nference AI platform: nference.com/demo

#Fibrosis #Liver #LanguageModels #PatientIdentification

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.27…

Request a demo of our AI platform: nference.com/demo

#LanguageModels #DiseaseDetection #RealWorldEvidence