Peggy Westlotorn

Richard Harrison

Rachael Burroughs

Yiannis Kiachopoulos

Anna Tzani

Danai Mavreli

Noelle Baquiche

Angeliki Andrianopoulou

Magdalena Sommenvik

Artur Saudabayev

It is well recognized among scientists that target selection can improve
clinical trial success rates (1). Being able to stay up to date...

Webinar - Knowledge discovery reimagined: finding new hypotheses with Causaly Cloud

Causaly AI finds more relevant articles than PubMed alone, using its advanced machine-reading technology.

Causaly vs PubMed®: 2x as many relevant articles identified by Causaly using the same data

Causaly AI has performed a network analysis of the 40,000 COVID-19 full text papers recently made public as part of CORD-19, in addition to 30 million existing biomedical publications.

COVID19: Causaly AI releases Top 250 compounds for further research

COVID-19: Causaly AI releases Top 250 compounds for further research following CORD-19 Network Analysis

Introduction
A disease is considered rare if it affects less than 5 in 10,000 of the general
population. There are at least 7,000 known...

AI-supported epidemiology evidence in orphan drug applications: Angelman syndrome case study

Understanding Epidemiology, Global prevalence and incidence for Lupus Erythematosus, within seconds.

Epidemiology Analytics – Prevalence for Lupus Erythematosus

Working as a pediatrician caring for ill, hospitalized children is a tremendously rewarding occupation, but getting it right can be hard.

Advancing Clinical Care using AI: A case of Hemorrhagic Disease of Newborn

Comparison of Causaly AI engine with UpToDate, by looking at the example question, ‘What disorders are associated with frozen shoulder?’

Artificial Intelligence and Clinical Decision Support - Frozen shoulder

How to find newest insights on Renal Cell Carcinoma from academic literature

New Insights in Renal Cell Carcinoma using Artificial Intelligence

Leverage Artificial Intelligence to assist clinicians to find answers to two COPD related clinical scenarios using the Causaly Platform

Using AI to answer clinical questions: COPD Case Studies

Top causes of female infertility using AI supported clinical decision systems

AI for Clinical Decision Support – What conditions cause female infertility?

Introduction
The process of finding and evaluating existing clinical research is central to
all areas of biomedicine, providing the...

Can AI enhance traditional clinical literature research methods?

The objective of this study was to evaluate all possible symptoms of SMA to identify relevant research articles and to define SMA prevalence comprehensively. We asked the question: What are the disorders and syndromes associated with SMA?

Understanding Clinical Outcomes of Spinal Muscular Atrophy

The underlying query machine-reads 143,548 articles within < 2 seconds and returns 53 hormones as potential mediators for the relationship (Obesity)->(Breast Cancer).

How is Obesity related to Breast Cancer? Insights from 140,000 articles.

Rapid search for causes of anxiety at super human speed using the Causaly machine-reading platform

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Webinar - Knowledge discovery reimagined: finding new hypotheses with Causaly Cloud

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