It is estimated that around 80% of innovator companies rely on external companion diagnostic developers, mostly owing to the lack of the required in-house expertise. On the other hand, there are numerous contract service providers, offering vast portfolios of services for diagnostic test / assay development. Such companies are known to possess extensive technical knowledge, and experience in working with cutting-edge analytical tools and technologies, such as in situ hybridization (ISH), immunohistochemistry (IHC), next generation sequencing (NGS), polymerase chain reaction (PCR).
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The USD 800+ million (by 2030) financial opportunity within the companion diagnostics development services market has been analysed across the following segments:
- Type of Service Offered
- Feasibility Studies
- Assay Development
- Analytical Validation
- Clinical Validation
- Type of Assay Technique Used
- in situ hybridization / Immunohistochemistry
- Next Generation Sequencing
- Polymerase Chain Reaction
- Others
- Key geographical regions
- North America
- Europe
- Asia Pacific
The report features inputs from eminent industry stakeholders, according to whom the development of companion diagnostics is largely outsourced, owing to the exorbitant costs associated with the setting-up of in-house expertise / capabilities. The report includes detailed transcripts of discussions held with the following experts:
- Anton Iliuk (President and Chief Technology Officer, Tymora Analytica)
- Paul Kortschak (Senior Vice President, Novodiax)
- Pablo Ortiz (Chief Executive officer, OWL Metabolomics)
- Lawrence M. Weiss (Chief Scientific Officer, NeoGenomics Laboratories)
Table of Contents
- Preface
2. Executive Summary
Introduction
- Market Landscape
- Company Profiles
- Partnerships and Collaborations
- Likely Partner Analysis
- Company Competitiveness Analysis
- Stakeholder Needs Analysis
- Value Chain Analysis
- Clinical Research on Cancer Biomarkers: Big Pharma Perspective
- Market Forecast And Opportunity Analysis
- Executive Insights
- Appendix 1: Tabulated Data
- Appendix 2: List of Companies and Organizations
To purchase a copy, please visit https://www.rootsanalysis.com/reports/view_document/immune-checkpoint-inhibitors/303.html
Contact Details
Gaurav Chaudhary
+1 (415) 800 3415
Roots Analysis has announced the addition of “In Silico / Computer-Aided Drug Discovery Services Market: Focus on Large Molecules (Antibodies, Proteins, Peptides, Nucleic Acid, Gene Therapy and Vectors), 2020-2030 (Including Structure Based Drug Discovery, Fragment Based Drug Discovery, Ligand Based Drug Discovery, Target Based Drug Discovery / Multi-Target Drug Design, Interface Based Drug Discovery, Approaches)” report to its list of offerings.
Presently, in silico tools / approaches are available for the identification, selection and optimization of pharmacological leads.
in fact, the predictive power of such solutions has been demonstrated to enable researchers to bypass the traditional experimental screening of billions of molecules against hundreds of biological targets, thereby, allowing significant reductions in the investment of both time and resources.
It is worth mentioning that about 30% of players presently offer end-to-end drug discovery services Over 150 software solutions are currently available for use in drug discovery Around 90 companies are currently providing software tools, web applications and other technology platforms for drug discovery.
Examples of popular softwares include (in alphabetical order) FORECASTER SUITE, MOPAC2016™, PKPlus™, REAL Space Navigator, SaaS Platform and VolSurf+.
Around 40% of the companies claim to specialize in antibodies, proteins and peptidesWithin the antibodies segment, nearly 60% of in silico service offerings are focused on the discovery of monoclonal antibodies.
Therefore, the use of technology can save time and money, while providing a far better understanding of the relationships between different formulations and processes parameters.Key Drivers, Restraints, and Opportunities of AI in Pharma and Biotech MarketAdoption of artificial intelligence (AI) in the drug discovery market in developing regions such as APAC is increasing, thanks to the expansion of pharmaceutical industries by collaborating with other industries and rise in demand to reduce drug discovery time.
Furthermore, the expansion of biotechnology industries is estimated to offer significant opportunities for the market.An estimated 50% of U.S. citizens are affected by at least one chronic condition; consequently, the pharmaceutical segment of the healthcare industry is projected to be positively impacted by the expected trend of AI adoption.All top 10 so-called giant pharma companies (namely Novartis, Roche, Pfizer, Merck, AstraZeneca, GlaxoSmithKline, Sanofi, Abbvie, Bristol-Myers Squibb, and Johnson & Johnson) have either expressly collaborated with or acquired AI technologies to take advantage of the opportunities AI brings to the table.
Industry leaders are presently focused on the development of more efficient methods, and machine learning is emerging as a possible solution.The current machine learning initiatives of the top five pharmaceutical and biotechnology companies reveal trends within the following areas:Digital coaching solutions – Utilization of web-based technologies to simulate one-on-one coaching sessions so that all patients can have the benefit of a uniquely devised medication program.For instance: Johnson & Johnson’s Patient Athlete programPersonalized medicine – Personalized medicine, also called precision medicine, maybe a medical model that separates people into different groups—with medical decisions, practices, interventions, and/or products being tailored to the individual patient supported their predicted response or risk of disease.For instance.
Unlike other applications within healthcare facilities, drug discovery seems to own a clearer path to adoption.Recently, robots became more collaborative with humans and are more easily trained by moving them through the desired task.
Over time, it seems likely that an equivalent improvement in intelligence that we have seen in other areas of AI would be incorporated into physical robots.Surgical robots initially approved in the U.S. in 2000, provided ‘superpowers’ to surgeons, improving their ability to examine, create precise and minimally invasive incisions, and stitch wounds.
Common surgical procedures using robotic surgery include gynecologic surgery, prostate surgery, and head and neck surgery.Pre Book Ai In Pharma And Biotech Market Report – https://www.transparencymarketresearch.com/checkout.php?rep_id=79399=S North America to Capture Major Share of Global Market of AI in Pharma & BiotechNorth America is expected to account for a major share of the global market of AI in Pharma and Biotech due to the high prevalence of chronic diseases among the population.
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Automation at every point of the value chain will enable the pharma companies to get pharmaceuticals from the lab to the patient more quickly.We design systems that help pharmaceutical and biotech companies to achieve operational excellence, reduce time to market and meet all industry standards and regulations.
