MP Group: Outlook on ‘Artificial Intelligence in Target and Biomarker Discovery-2022′

We are glad to present our outlook on ‘Artificial Intelligence in Target and Biomarker Discovery-2022’. The attached presentation outlines how AI can better elucidate disease biology and assist with building a robust hypothesis for target and biomarker identification. Most clinical trials fail because of poor safety and efficacy resultant from a lack of holistic disease understanding. The traditional approaches are usually unidimensional and fail to account for the complex nature of biology. While we are observing an explosion of healthcare data,…

Continue Reading

Biopharma Trend: 7 Tips for Growing a Successful ‘AI in Pharma’ Business: Key Growth Strategy Lessons

The ‘AI in Pharma’ start-up space has been rapidly exploding, with new companies being formed every month. The explosion has been fueled by slow yet steady adoption of such tools by the biopharma companies. However, it’s only a handful number of start-ups that are garnering all the attention while others are struggling to even get a single ‘paid’ project. Several start-ups are likely to die within 2 years, even when they had built great products/ services. A good idea or…

Continue Reading

Outlook on AI and medical writing

We are glad to present our outlook on ‘AI and medical writing’ that gives an overall perspective on the technological advancements in the medical writing industry. Medical writing is expected to be a $5B+ market with a ~10% CAGR in the next 5 years. However, the industry faces the challenge of high attrition rates and lack of resources. Inefficiencies are further fueled by limited use of automation to reuse content between different regulatory documents and publications as well as limited…

Continue Reading

MP Group: Outlook on Microphysiological Systems (MPS) – The future of pre-clinical R&D

Outlook on ‘Microphysiological Systems (MPS) – The future of pre-clinical R&D’ that outlines the challenges with traditional drug testing, alternatives to the traditional methods, and the current and future perspective on MPS technologies. With a ~90% failure rate of drugs in clinical trials, the biopharma R&D continues to operate with substandard efficiency. The traditional drug testing methods (in-vitro and in-vivo) often fail to translate into clinical observations. Therefore, there is a high unmet need to develop in-vitro systems offering improved…

Continue Reading

Biopharma Trend Article: Tech Providers or Biotechs: The Quest to Find an Optimal Business Model Continues for AI Drug Discovery Companies…

The AI drug discovery industry has already gathered momentum with AI start-ups having signed more than 200 deals with 50+ pharma companies over the last few years, and these are just the disclosed deals. Few top companies like InSilico Medicine and Cyclica claim to have over 100 collaborations each with Academia and Industries. With billions of dollars pouring-in, it is likely to gain further impetus with the industry approaching maturity in the next few years from its formative stage. A conundrum that…

Continue Reading

MP Group- Natural Language Processing: An AI tool to cash-in the ‘big-text’ in life sciences

2020 saw several milestones for the use of Artificial Intelligence (AI) in pharma, including the entry of the first AI-designed molecule in clinical trials. While digital pathology and chemistry/small molecule-oriented AI applications have already found their way into mainstream news, we would like to share with you an outlook on Natural language processing (NLP) - An AI tool to cash-in the ‘big-text’ in life sciences. Pharma has seen an explosion in terms of data. PubMed has more than 30 million citations, clinicaltrialgov has…

Continue Reading

MP Outlook – 2021 and Beyond

At the threshold of this New Year, we are pleased to share the ‘MP Outlook – 2021 and Beyond’ (link to the presentation) where we present our analyses on some of the high-impact areas potentially reshaping BioPharma industry, especially from the learnings due to the pandemic. Some of the key highlights of the presentation are –   BioPharma can no longer afford to spend a decade and a billion dollar in getting a drug to the market. Integration of AI-based platform…

Continue Reading

MP Group – AI toolkit for early-stage drug discovery

Early this year, we shared an outlook giving an overview of the role of Artificial Intelligence in Drug Discovery. Through our conversations with several global pharma and biotechs, we realized that, while the enthusiasm around the potential of AI is high, a shadow of skepticism looms over. A common theme in our dialogs was on explaining the advantages of AI-based interventions over the traditional methods and what to expect out of AI-based platforms. To help build a deeper perspective on AI…

Continue Reading

Next Generation CROs – Differentiated technologies today that will pay-off tomorrow

Historically, CROs have grown by building the scales for the services that pharma cos and biotechs wanted to outsource due to a number of reasons, from reducing the overheads, to cost-effective operations, to downsizing the headcount for effective management, etc. As a result, operational efficiency, large scales and past experiences have been the key value propositions, with relatively lesser focus on differentiated offerings, of course with a few exceptions. However, with BioPharma now riding on a wave of innovative technologies,…

Continue Reading

Biopharma Insight Article: The AI Productivity Game in Pharma

The pharmaceutical business is one of the riskiest industries to venture into. Drug discovery is an artisanal process where a carefully designed drug takes about 10 years and approximately 2.5 billion dollars to be approved and launched into the market. The complexity of biological systems places the odds at a ridiculous failure rate of 90%. In recent years, the declining efficiency of the R&D efforts has put the pharma industry on its toes.  In the past decade, Artificial Intelligence (AI)…

Continue Reading
Close Menu