nference Establishes AI Initiative with Takeda to Advance Precision Medicine in Inflammatory Bowel Disease

The culmination of a major shift that has been quietly taking place in the NLP ecosystem.

Emergent capabilities of large language models is transforming the NLP ecosystem...

Comprehensive molecular profiling of Adenovirus receptor (CXADR) by the nference platform reveals strong expression in liver tissues: Implications for rising pediatric hepatitis cases in Europe and North America

Adenovirus infection and pediatric hepatitis: Pan-tissue molecular profiling of Adenovirus receptor (CXADR) protein reveals strong liver expression

An image representation that’s a close analog for words in generative tasks

For select supervised tasks with self-supervised learning(SSL) models satisfying certain properties

A prerequisite to use a pre-trained model as is, without fine tuning

Quantitative evaluation of a pre-trained BERT model

BERT is a prize addition to the practitioner’s toolbox

Swiss army knife for unsupervised task solving

A hybrid approach combining symbolic processing with distributed representations

An approach to evaluate a pre-trained BERT model to increase performance

For sentence similarity/document search applications

Unsupervised creation of interpretable sentence representations

COVID-19 questions — a use case for improving sentence fragment search

Progress in(slow) conscious task solving?

T5 — a model that explores the limits of transfer learning

To create word representations capturing deep bidirectional context

XLNet — a clever language modeling solution

Also: some recent clues/insights into what makes BERT so effective

Reveals clues to its state-of-art performance in NLP tasks

Learn about our cutting edge algorithms, technology and NLP applied to healthcare and EMR data

nference | Blog

Unlock data value, drive revenue. Secure, complex data handling. Advanced analytics, actionable insights.

For Health Systems

Built on the richest data from leading medical centers, the nSights platform offers a suite of statistical analytics

Data Modality

Data Synthesization

Empower researchers with RWD tools. Easy patient groups, visual insights, secure access. Boost efficiency, accelerate innovation.

For Clinical Researchers

Secure platform for data scientists. Multi-center data, familiar tools, customizable workflows. AI-driven insights.

For Data Scientists

AI-powered insights from EHRs. Diverse RWD fuels RWE, driving clinical research, drug dev, & predictive models.

Actionable insights from RWD. AI-driven research, real-world endpoints, regulatory excellence. Data quality & compliance.

For Life Sciences

Real-world effectiveness of sotrovimab in preventing hospitalization and mortality in high-risk patients with COVID-19 in the United States: A cohort study from the Mayo Clinic electronic health records

An electrocardiogram-based AI algorithm for early detection of pulmonary hypertension

ECG Representation Learning with Multi-Modal EHR Data

{
"Electrocardiograms": "",
"Gastro-intestinal": "",
"Cardiology": "",
"Metabolic Diseases": "",
"Real-world Effectiveness": "",
"Epidemiology": "",
"Covid-19": "",
"Oncology": "",
"Hepatology": "",
"Mesothelioma": "",
"NSCLC": "",
}

Built on the richest data from leading medical centers, the nSights platform offers a suite of statistical

nference blog

ChatGPT — an epochal event

A Quiet Shift in the NLP Ecosystem

Adenovirus infection and pediatric hepatitis: Pan-tissue molecular profiling of Adenovirus receptor (CXADR) protein reveals strong liver expression

Almost Any Image Is Only 8k Vectors

SSL could Avoid Supervised Learning