Life Sciences – What made news in 2019?

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We work with leading Life Sciences (LS) companies globally to explore and analyse the latest sector trends, and we’ve been sharing some of our insights about the key issues over the year. Whether it was Artificial Intelligence and Machine Learning shaping the future of pharma, leveraging data and analytics to advance population-scale genome sequencing, or regulatory and economic changes impacting the global API market – we’ve been bringing you in-depth analysis of this dynamic space.

Let’s look back at what kept the LS industry busy in 2019!

 

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Analytics to save lives

From cleaning blood with leeches and biting sticks for pain relief, to an age of advanced medicine, anaesthesia and preventative treatments – healthcare has come a long way over the last few decades! But there is still a lot to achieve, particularly with pressures of ageing populations, patients with multiple chronic conditions and underfunded infrastructures. Doctors are now looking for ways to make diagnosis, treatments and hospital operations more efficient and effective. Could data science be the shot in the arm the industry needs? In this blog, we discuss the top ways data science and analytics are transforming healthcare today and creating a better future for us all.

Read the full blog here: Saving lives - 5 ways data science is transforming modern healthcare

 

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Artificial Intelligence shaping pharma’s future

Did you know by 2021, companies are likely to invest around $6.6 billion in AI? Why? Because AI can effectively reduce the total number of clinical trials by up to 70%. So where big data and analytics laid the foundations for a smarter, faster and better-informed pharmaceutical industry, AI and Machine Learning are now taking things to the next level. Find out more about how AI is having an unparalleled impact on the Life Sciences industry.

Read the full blog here: How AI is Shaping the Future of the Pharmaceutical Industry

 

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De-risking pharma outsourcing

As the cost of developing drugs rises and margins shrink, pharma companies want to extract every ounce of savings possible. For many, cost-effective outsourcing is key to driving down operational costs, and ensuring core personnel can focus on research and development and other critical tasks. But firms must be well informed with intelligence to get the best contract terms, ensure they’re paying the fairest price for the labour they are sourcing, and able to reduce the risk of shifting currency values. Our next blog provides some answers.

Read the full blog here: Pharmaceutical outsourcing: How to negotiate payment terms with your vendor

 

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Patient-Centric Future of Clinical Research Trials

This year, we dived deeper into the changing environment of clinical research. The Life Sciences industry is carrying out some of the most vital research in the world, but are some of these methods becoming outdated? As pressure grows to deliver robust and faster clinical results – without increasing costs, compromising on data quality, or risking patient safety – traditional trial models aren’t providing the level of patient-centricity the industry demands. In this next blog, we share our insights on this critical issue.

Read the full blog here: The Patient-Centric Future of Clinical Research Trials

 

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What’s next for genome and exome sequencing?

50+ projects on population-scale genome sequencing are now underway worldwide – out of which the top 16 are expected to account for ~92% of the world’s genomic data by 2022! This indicates huge opportunities for biopharma companies and genomics service providers to fuel the future of drug discovery and development. How can these companies leverage insights from market intelligence and data analytics? Our next blog explores this and more.

Read the full blog here: The Next Big Life Sciences Opportunity: Leveraging Data from Population-scale Sequencing Project

 

If you’d like to know more about how The Smart Cube can help you understand market trends, and identify opportunities and risks in the Life Sciences space, please do get in touch.

Watch out for our 2020 Life Sciences trends infographic in the coming weeks!

Prasad Kothari

Prasad Kothari

Prasad is an analytics and data science leader who has worked extensively building high-performing teams for various organisations and has provided consulting to many fortune 500 clients. At The Smart Cube, he focuses on helping clients realise the value of data science to solve priority business problems, including customer analytics, marketing analytics, RWE/RWD, and supply chain analytics. He has been able to help clients leverage data science to drive innovation, and top-line and bottom-line impact. Prasad has published healthcare data science research papers across leading journals, such as the American Journal of Public Health and American Journal of Psychology, as well as published books in AI. Further, he is part of the editorial board of leading research journals. Prasad has collaborated with several universities in the US and given guest lectures on Quantum Machine Learning, NLP/NLU, topological data analysis and computer vision research. He spends his weekends reading AI books and listening to Indian classical music.

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