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DataHow
Zurich, Switzerland
A
1-10 Employees
2017
Key takeaway
DataHow is a Swiss technology company that specializes in data analytics and bioprocess modeling, emphasizing the transformative potential of data and digital technologies in biopharma operations. Their innovative platform, DataHowLab, offers in-silico simulations and guided workflows that enhance development efficiencies and address specific challenges in bioprocess development.
Highlighted product
Core business
Digital Bioprocess Solutions - Datahow Technology
DataHow is specialized in data analytics and bioprocess modeling
Biotech IT Solutions
Gaithersburg, United States
B
1-10 Employees
2020
Key takeaway
The company leverages in-house data to create models and offers IT solutions designed to enhance growth in the biotechnology sector, highlighting the synergy between Biotech and IT.
Highlighted product
Core business
Biotech-IT Solutions
Experience accelerated growth and unlock potentials
BioDataAnalysis
Munich, Germany
A
1-10 Employees
2015
Key takeaway
BioDataAnalysis GmbH specializes in providing solutions for the analysis of microscopy-based biomedical assays, emphasizing intuitive and reproducible data analysis. Their CellAnalyzer tool facilitates comprehensive, computer-based analysis, which may be relevant for those interested in big data applications in biotechnology.
Highlighted product
Core business
Home | BioDataAnalysis GmbH
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BDI biotech
Boecillo, Spain
A
11-50 Employees
2014
Key takeaway
BDI Biotech is a Spanish company that specializes in biotechnology applications across Agriculture, Food, Industry, and Cosmetics. Their expertise in strain and bioprocess development, along with their commitment to transforming lab research into economically viable solutions, positions them as a key player in addressing the challenges of big data in biotechnology.
Highlighted product
Service
Biotech Services | BDI biotech
BDI biotech services achieve the techno-economical feasibility of your project using biotechnology for different sectors.
Biogenesex S.C.A.
Arenales de San Gregorio, Spain
A
1-10 Employees
2019
Key takeaway
Biogenesex focuses on innovative solutions in biotechnology, particularly in drug design and personalized medicine through predictive systems and multidimensional biomarkers. Their non-invasive clean technology and massive screening software enhance security processes and improve diagnostic accuracy, ultimately reducing R&D costs.
Highlighted product
Core business
MacroBioMarker Corp.- Biotech- Massive screening software - Biogenesex
Massive screening software. Personalized medicine. Predictive system. R&D. Radical Innovation. A new dimension of resources to discover.
MyBiotech GmbH
Überherrn, Germany
A
1-10 Employees
2016
Key takeaway
MyBiotech is a Contract Development and Manufacturing Organization (CDMO) specializing in biotechnology and pharmaceuticals, with a focus on innovative production methods and products like algae-derived Omega-3 fatty acids and natural supplements. Their commitment to developing cutting-edge technologies and fermentation capacities for various microorganisms positions them as a key player in the biotech sector.
Highlighted product
Core business
MyBiotech GmbH - CDMO - Products for biotech and pharma
MyBiotech is a CDMO offering end to end development, manufacturing services and innovative products for biotech and pharma.
BioTeam
Middleton, United States
B
11-50 Employees
2001
Key takeaway
BioTeam specializes in creating integrated data ecosystems that serve as the essential IT backbone for modern biomedicine, addressing complex challenges in research and operations. Their expertise in data science and technology empowers scientists to enhance the speed and impact of biomedical discoveries.
Highlighted product
Core business
BioTeam - Life Sciences IT Consulting
A scientific IT consulting company at the intersection of science, data and technology, BioTeam is relentlessly focused on closing the gap between what scientists want to do with data—and what they can do.
Biotech S.A.S
Belen, Colombia
C
11-50 Employees
2004
Key takeaway
Biotech S.A.S conducts verification and analysis processes, with a commitment to respond within 45 days. A highly trained engineer is responsible for auditing and gathering information, ensuring a thorough data collection process.
Highlighted product
Core business
Biotech | Biotech
Biodviser Ltd
Oldham, United Kingdom
A
1-10 Employees
2021
Key takeaway
Biodviser Ltd specializes in bioinformatics and data science, offering advanced machine learning methods for the analysis of multi-omics and biomedical data. Their expertise in big data and cloud computing addresses the challenges posed by the increasing volume of data in biotechnology.
Highlighted product
Core business
Biodviser - Experts in Bioinformatics and Biomedical Data Science
DataBioX
Tehran, Iran
1-10 Employees
2019
Key takeaway
DataBiox focuses on the applications of AI, machine learning, and data science in the biological and medical sciences, highlighting their prepared dataset related to breast cancer, which could be valuable for big data biotechnology initiatives.
Highlighted product
Core business
Home - DataBiox ..::: AI / Data Driven Solutions :::..
Welcome! DataBiox is a place for sharing applications of AI / ML & data science in Biological and Medical Sciences. Our first prepared data set is related to breast cancer, Invasive Ductal Carcinoma (IDC). This data set has been collected from pathological biopsy samples of 150 patients (Grade I, II and III) who were referred
Technologies which have been searched by others and may be interesting for you:
Big Data Biotechnology involves the use of large datasets to enhance research and development in the field of biology and health sciences. This approach leverages advanced data analytics, machine learning, and computational tools to analyze complex biological information. By integrating diverse data sources such as genomic sequences, clinical data, and environmental factors, researchers can uncover patterns and insights that drive innovation in drug discovery, personalized medicine, and agricultural biotechnology. The application of big data techniques enables biotechnologists to make more informed decisions, improve the efficiency of experiments, and accelerate the development of new therapies. As a result, the intersection of big data and biotechnology is transforming the way biological research is conducted and fostering a deeper understanding of biological processes.
The integration of Big Data in biotechnology is significantly transforming healthcare research by enabling the analysis of vast amounts of biological and clinical data. This innovation allows researchers to identify patterns and correlations that were previously undetectable. For instance, by leveraging genomic data alongside electronic health records, scientists can better understand disease mechanisms and patient responses to treatments. Moreover, the use of advanced analytics and machine learning algorithms empowers researchers to personalize medicine. By analyzing large datasets, they can predict the efficacy of specific therapies for individual patients, leading to more effective treatment plans. As a result, Big Data biotechnology not only accelerates the pace of research but also enhances the precision and reliability of healthcare solutions.
1. Data Analytics Platforms
These platforms are essential for processing and analyzing vast datasets in biotechnology. They utilize algorithms and statistical methods to extract meaningful insights from complex biological data.
2. Machine Learning Frameworks
Machine learning frameworks are used to develop predictive models that can identify patterns in biological data. These tools enhance the ability to make data-driven decisions in research and development.
3. Cloud Computing Services
Cloud computing provides the necessary infrastructure for storing and processing large volumes of data. It allows biotechnology firms to scale their operations and collaborate effectively across different locations.
4. Bioinformatics Tools
Bioinformatics tools are crucial for managing and analyzing biological data, including genomic sequences and protein structures. They support various applications, such as drug discovery and personalized medicine.
5. Visualization Software
Visualization software helps researchers interpret complex data through graphical representations. It facilitates better understanding and communication of research findings, driving innovation in biotechnology.
Big Data Biotechnology significantly enhances drug discovery processes by leveraging vast amounts of biological and chemical data. Analyzing large datasets allows researchers to identify potential drug targets more efficiently. By utilizing machine learning algorithms, scientists can predict how different compounds interact with biological systems, streamlining the screening process. Moreover, the integration of genomic and proteomic data enables a deeper understanding of disease mechanisms. This comprehensive approach leads to more accurate models for testing drug efficacy and safety, ultimately accelerating the transition from laboratory research to clinical trials. The synergy of big data analytics in biotechnology not only shortens the drug discovery timeline but also increases the likelihood of successful outcomes.
Big Data Biotechnology encounters significant challenges in data security due to the sensitive nature of the information involved. Protecting personal health data and proprietary research findings necessitates robust security measures. Cyber threats, including data breaches and ransomware attacks, pose constant risks, as hackers target valuable biotechnological data. Furthermore, compliance with regulations such as HIPAA and GDPR complicates security efforts, requiring organizations to implement stringent data protection protocols. The integration of vast datasets from various sources increases vulnerability, making it difficult to maintain consistent security standards across all platforms. Addressing these challenges requires a combination of advanced technology, ongoing training for staff, and a proactive approach to risk management.
Some interesting numbers and facts about your company results for Big Data Biotechnology
| Country with most fitting companies | United States |
| Amount of fitting manufacturers | 7734 |
| Amount of suitable service providers | 7128 |
| Average amount of employees | 1-10 |
| Oldest suiting company | 2001 |
| Youngest suiting company | 2021 |
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Some interesting questions that has been asked about the results you have just received for Big Data Biotechnology
What are related technologies to Big Data Biotechnology?
Based on our calculations related technologies to Big Data Biotechnology are Biomedical (Red), Bioinformatics (Gold), Environmental Biotechnology (Grey), Agricultural Biotechnology (Green), Food Related Biotechnology (Yellow)
Who are Start-Ups in the field of Big Data Biotechnology?
Start-Ups who are working in Big Data Biotechnology are Biotech IT Solutions, Biodviser Ltd
Which industries are mostly working on Big Data Biotechnology?
The most represented industries which are working in Big Data Biotechnology are IT, Software and Services, Biotechnology, Other, Pharmaceuticals, Consulting
How does ensun find these Big Data Biotechnology Companies?
ensun uses an advanced search and ranking system capable of sifting through millions of companies and hundreds of millions of products and services to identify suitable matches. This is achieved by leveraging cutting-edge technologies, including Artificial Intelligence.
