To order this detailed 320+ page report, please visit this link
Key Inclusions
- A detailed assessment of the current market landscape of companies offering companion diagnostics services, including information on the type of services offered, type of analytical technique used and regulatory certifications / accreditations, and other company-specific details (such as year of establishment, company size and geographical location).
- Tabulated profiles of companion diagnostics service providers (shortlisted on the basis of the number of services offered), featuring an overview of the company, its financial information (if available), and companion diagnostics-related service portfolio details. In addition, each profile includes a list of the likely strategies that may be adopted by these players to support future growth.
- An analysis of the partnerships and collaborations pertaining to companion diagnostics services from 2017 to 2019, featuring a detailed set of analyses based on various parameters, such as the type of partnership, year of partnership, analytical technique used and the most active players.
- A list of stakeholders generated based on a detailed analysis of a set of relevant parameters (namely number of clinical trials sponsored by a developer and the time to market for proprietary personalized medicine products), which are anticipated to partner with companion diagnostics services providers in the foreseen future.
- A detailed competitiveness analysis of companion diagnostics services providers, taking into consideration the supplier power (based on the year of establishment of developer) and key specifications, such as portfolio strength, type of available technology platform, number of deals signed between 2017-2019.
- A comparative analysis of the needs of different stakeholders (drug developers, diagnostic developers, testing laboratories, physicians, payers and patients) involved in this domain.
- A discussion on various steps of the development operations, namely research and development, clinical assessment of the product, manufacturing and assembly, payer negotiation and marketing / sales activities, of a companion diagnostic and the cost requirements across each of the aforementioned stages.
- An analysis of completed, ongoing and planned clinical trials featuring disease-specific biomarkers. The analysis highlights the key trends associated with these clinical studies across various parameters, such as trial start year, trial status, phase of development, key indications, type of therapy, biomarkers evaluated, enrolled patient population and regional distribution of trials.
- A detailed market forecast, featuring analysis of the current and projected future opportunity across key market segments (listed below)
- Type of Services
- Feasibility Studies
- Assay Development
- Analytical Validation
- Clinical Validation
- Manufacturing
- Type of Analytical Technique
- in situ hybridization / Immunohistochemistry
- Next Generation Sequencing
- Polymerase Chain Reaction
- Others
- Key Geographical Region
- North America
- Europe
- Asia-Pacific and the Rest of World
Transcripts of interviews held with the following senior level representatives of stakeholder companies
- Anton Iliuk (President, Chief Technology Officer Tymora Analytical Operations)
- Paul Kortschak (Senior Vice President, Novodiax)
- Pablo Ortiz (Chief Executive Officer, OWL Metabolomics)
- Lawrence M. Weiss (Chief Scientific Officer, NeoGenomics Laboratories)
To request sample pages, please visit this link
Key Questions Answered
- Who are the key players that provide services for the development of companion diagnostics?
- What kind of partnership models are commonly adopted by stakeholders in this domain?
- What are the various initiatives undertaken by big pharma players in this domain?
- What are cost requirements across each of the development stages of a companion diagnostics test?
- Which developer companies are likely to partner with service provider entities in the foreseen future?
- What are the current and long-term needs of different stakeholders involved in this domain?
- How is the current and future market opportunity likely to be distributed across key market segments?
You may also be interested in the following titles:
- Neoantigen Targeted Therapies Market, 2019-2030
- Bispecific Antibody Therapeutics Market (4th Edition), 2019-2030
- Global Stem Cells Market: Focus on Clinical Therapies, 2020-2030
Contact Us
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.
Softcon Systems brings you automation solutions specific to the pharmaceutical industry – we will work with you to develop and implement ideal solutions specific to your requirements.
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.
