AI leveraging information for the BioPharmaceutical Industry

Structure massively & target precisely

Your path to AI recognition

Scaling solution for achieving complete end-to-end control of biomedical information, from the unstructured data sources to the valuable health insights :

adverse event identification, biomarker discovery, efficacy targeting & prediction, mastering data interoperability down to the thinnest form of information for extraction and visualization, are the goals we reach everyday with our 6 models

80% of biomedical resources are not available for use:

ArcaScience scaled these databases into AI models :

Avoid previous mistakes and capitalize on your own knowledge? 
AS AI : gathers and transforms unstructured data instantly into actionnable information
AI models generated does not fit with real use cases and information?
AS AI Generator : cutting-edge models made from and for the biopharma industry
Data are too heterogeneous to be exploited ?
ArcaExplore : a unique user-friendly UI to discover, compare & export targets

Our solution

A structuring AI and an AI-generator able to identify, bind, tap into and leverage any biomedical data needed.

1 tool for all your needs, gathering information, understanding your specialized vocabulary and delivering all kinds of ways to explore it : biostatistics, visualisations & targeted extractions

Use cases :
- Automatic Systematic Literature Review
- Drug repurposing (biomarkers targeting ; efficacy ; A/Es identification ; dosages)
- Pharmacovigilance & RWE automation (meta-analysis ; instant PSUR ; signal dectection)
- Clinical optimization (recruitments, automatized protocol drafting, CRF analysis etc.)

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ArcaScience AI is the first and only solution giving us both the ability to leverage and to access our data out of a hundred different sources never merged together and to target crucial oncology datapoints (mostly biomarkers and adverse events), leading us to save millions over a year and significantly accelerate our pace of development.

Head of R&D oncology at a top 5 Big Pharma

Only with Arcascience

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Biomedical data

85m publications & 20m medical records, clinical trials, R&D data etc.

Data Federation

>80% of your own data rendered annotated, interoperable & searchable

Extraction Level

Starting from state of the art querying, side-effect retrieval, all the way to gene extraction

Only with Arcascience

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RWE & Precision Medecine

How can I discover biomarkers to assist with patient stratification? Biomarker Discovering AI

How can I use RWE to understand patient reported outcomes? Automatic rendering of Meta-analysis

Pharmacovigilance

How can I monitor my molecule’s effects? Wide-range smart Signal Detection

How can I spend less time reporting? Automatic filling & rendering of PSURs

Market Validation

How can I simplify my protocol drafting? Protocol autofill

How to maximize my patient adoption? Patient Profile analysis

State of the art

What secondary data targets this molecule/biomarker/etc. ? State-of-the-art report

Can we predict safety issues before the phase 1? Predictive safety

Pre-Clinical

What is this molecule’s potential for clinical development? Translational Science

Can we predict safety issues? Predictive safety

Clinical Development

How can I reposition this molecule? Drug repositioning

Where can I find specific patients? Patients recruitment

What is the potential benefit/risk of this drug? Efficiency prediction

Our models

DATA FEDERATION

Secondary Data (Pubmed ; Clinical Trials ; Next-Gen repositories : Genbanks and many others)

Primary Data (SDMS ; eLNB ; CARS ; CLIMS ; LIMS ; PIMS; eTMF ; SMR ; CTSM ; CMC ; IDMP ; PLM)

DATA MANAGEMENT

Deep Parsing

Deep Structuring

Complex Ontology Matching

AS AI GENERATOR

Adverse events

Dosages

Efficiency Indicators

Biomarkers

Chemical properties

PK/PD (Pharmacokinetic/Pharmacodynamic)

Patient profile (inclusion/exclusion criterias)

Specialized Voc. (Ontology population)

[Technical Roadmap]

EXPLORE

Modeling / visualization

Dataset building

Targeted Extraction

Contextualization

Toxicity predictions

QSP Datasets

Digital Twin extrapolation

PSUR / CIOMS / PGR

Signal Detection

Dashboard

Deep Bibliography

Knowledge Graphs

ArcaScience AI

A glimpse into tomorrow’s data federation

Ask us anything

You are a researcher, scientist, or member of a related R&D institutions or company and you want to talk with us about topics like:

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Data access
Lost Science
Open Science
Your search for fundings
Pharmacovigilance
Biostatistics
Search process layouts
AI in research
Scientific publishing
Federative Learning