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About Gnosis

We are currently looking for a scientific programmer to strengthen our development team.

Our model for assessing lung cancer risk featuring in major newspapers!

Gnosis Data Analysis recently participated in the creation of an on-line tool, namely the HUNT Lung Cancer Model Risk Calculator, for assessing the individual risk of developing lung cancer in smokers The scientific study describing the tool was published in the EBioMedicine journal (link), while the tool is available here (see also our original post) […]

New model for assessing the risk of developing lung cancer

Gnosis Data Analysis contributed in creating a precise tool for evaluating the personal risk of developing lung cancer in smokers The tool is based on a mathematical model, namely the “HUNT Lung Cancer Model”, which accepts seven different clinical parameters and computes the probability of developing lung cancer within 6 and 16 years Several characteristics[…]

Further advancements for the assessment of suicide risk in mental health patients

The University of Huddersfield and Gnosis are leading a project for creating predictive, machine learning models able to precisely evaluate the risk of committing suicide in mental health patients These models will help physicians in identifying the patients that need the highest level of support Recently, two more scientific works from this project have been[…]

Gnosis work on risk assessment for suicide events at display in HEALTAC 2018

Gnosis, in collaboration with Huddersfield University, is developing risk assessment models based on machine learning for identifying mental hospital patients at risk of suicide The first results of this collaboration will be presented in a poster in the UK Healthcare Text Analytics Conference (HealTAC), April 18-19, Manchester, UK These results indicate that predictive analytics can[…]

Gnosis participates in the WCLC 2017

Gnosis personnel presented two posters at the World Conference on Lung Cancer 2017, held in Yokohama, Japan, from the 15th to the 18th of October The first poster illustrates a new stratification model for identifying subjects at high risk of developing lung cancer, and that should undergo further clinical assessment Massive application of this model[…] Gnosis DA offers a complete spectrum of data-analysis services, providing support in all phases of a scientific or business analytics study "To call in the statistician after the experiment is done may be no more than asking him to perform a post-mortem examination: he may be able to say what the experiment died of " — R A Fisher, 1938 Realizing a scientific study requires to careful plan the experiments to perform, including selecting the most appropriate sampling-methodology, an accurate estimation of the needed sample size, and the identification of the statistical methods that are more suitable for confirming / rejecting the hypotheses of the study

Gnosis DA assists researchers in all phases of their scientific work: experimental design, data-collection quality control, interpretation, visualization and analysis of the final results

Business Intelligence can tell you "what is going on", reporting metrics and statistics on various aspects of your business performance Business Analytics takes a step further, by turning these data in information and insight for better supporting decision-making

Contact Gnosis DA for a consultancy regarding how Business Analytics can boost your activity

JUST ADD DATA: INTELLIGENT, AUTOMATIC ANALYSIS OF BIG BIOMEDICAL DATA

PREDICTIVE ANALYSIS FOR IMPACT WRAP

METALASSO: A PLATFORM FOR COMPUTATIONAL META-ANALYSIS OF GENOME WIDE ASSOCIATION STUDIES-GWAS

CAUSAL ANALYSIS SERVICES FOR GEICO

PREDICTING SUICIDE ATTEMPTS IN SOUTH WEST YORKSHIRE, UK

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  • Economou, "MatureP: prediction of secreted proteins with exclusive information from their mature regions", Scientific Reports 7, 2017 [Link]
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  • Cooke, "Glottal Source Features for Automatic Speech-based Depression Assessment", INTERSPEECH, 2017 [PDF]
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  • 5, 2016 [Link]
  • Stefanos Fafalios, Pavlos Charonyktakis, Ioannis Tsamardinos, "Gradient Boosting Trees", Gnosis Data Analysis PC, April 2020 [PDF]

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