Drug development is facing change – both from technological pressures, such as the use of AI and machine learning, plus new regulations which are driving sweeping changes to the way electronic records are created and stored for clinical trials.
Suppliers' directory
Suppliers' directory
- Laboratory notebooks
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- Chromatography Data Systems Thermo Fisher Scientific
- Data Acquisition Definiens
- Image Analysis and Processing Definiens
- Physics and Engineering Instruments
- Spectroscopy Thermo Fisher Scientific
- Statistics Palisade
- Visualisation / Graphics Miner 3D, Inc
DataApex
iCD.
Statistical Solutions Ltd
Tripos International
OriginLab
Camo Software
- Modelling and Simulation
- Mathematics, Simulation and Modelling PDE Solutions Inc
- Molecular Modelling Tripos International
Integrated Engineering Software
Maplesoft
- Data Management
- Bioinformatics Accelerated Technology Laboratories, Inc
- Cheminformatics OSTHUS GmbH
- Electronic Laboratory Notebooks Laboratory Data Solutions
- Enterprise Resource Planning Software
- LIMS Thermo Fisher Scientific
- Scientific Document Management Systems Thermo Fisher Scientific
Statistical Solutions Ltd
Definiens
IDBS
Amphora Research Systems
STARLIMS
Contur Software AB
The Edge Software Consultancy Ltd
Accelrys
Siemens
OSTHUS GmbH
AgiLab
e-Science Solutions Ltd
Autoscribe Informatics
IDBS
STARLIMS
iCD.
Contur Software AB
Accelerated Technology Laboratories, Inc
Accelrys
Siemens
OSTHUS GmbH
Agaram Technologies Ltd.
AgiLab
Psyche Medical Laboratory Software
e-Science Solutions Ltd
Autoscribe Informatics
PerkinElmer
Waters
STARLIMS
Autoscribe Informatics
- Distributors
- High-Performance Computing
- Memory
- Networking/Storage Silicon Graphics Ltd
- Processing Gigabyte Technology Co., Ltd.
- Software Statistical Solutions Ltd
- Systems Integrator VA Technologies
QLogic
LSI
Panasas
PGI Compilers & Tools
Boston Limited
Calyos-TM
OCF
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Latest issue
Robert Roe speaks with laboratory informatics software providers about the future of their software and the introduction of new technologies, such as AI and deep learning
Scientists are now beginning to use new technologies such as the internet of things (IoT), artificial intelligence (AI) and machine learning (ML) in their daily workflows.
In today’s world, where drug development integrates science and technology, consumer safety is paramount in the pharmaceutical industry.