Bringing New Science to Market

Medical supplies and drugs, including a syringe, surgical mask, and pills

Medical innovation is reaching new heights every year. What scientific breakthroughs can we expect on the market in the coming decade? What challenges will we face in adopting them?

Professor Sean Nicholson, director of the Cornell Sloan Program in Health Administration, welcomed Wyatt Gotbetter, SVP and worldwide head of Parexel Access Consulting, and Dr. Gregory B. Franz, MD, MPH, MHA, hematologist and medical oncologist at the Kirkland Cancer Center, to explore answers to these questions in the recent Keynote webcast “Bringing New Science to Market: Innovation, Adoption, and Health Policy Challenges.”

Biotech and pharmaceutical firms spend about $80 billion each year on research and development in order to try to bring new therapies to the market. What is in the pipeline that might have a big positive effect on the health of the population in the future?

Gotbetter: “If we think just about the past five years, and of course that includes the pandemic, I think the rate of innovation and the number of launches has been remarkable. We can’t have this discussion without acknowledging the validation and the importance to all of us of the RNAi vaccines from BioNTech and Moderna. Moderna, on the heels of that success and being flush with sales of their COVID vaccine, is really advancing a number of therapeutic products as well as vaccines – really advancing their RNAi technology into the therapeutic space and oncology specifically.

In the same time, we’ve seen the approval of a couple of CAR-Ts truly advancing life-saving therapy in hematology and oncology. I think we’ll see gene therapies becoming safer and easier to manufacture, hopefully at lower costs. There’s just a pipeline of literally hundreds of programs where we’ll see gene therapy go from rare disease and disease that has very, very high morbidity perhaps into things managed more chronically with small molecule drugs – like heart failure.”

We have a couple of CAR-T therapies on the market that are Food and Drug Administration (FDA) approved. Are there similar kinds of classes of compounds that have yet to be approved that you think might potentially have a similar health impact?

Franz: “Leveraging the immune system to identify and kill cancer cells – that’s really what’s going on here. This is T cells doing what T cells do against cancer cells. I know that’s a very simple explanation. It’s very difficult to develop these compounds and to do this safely, but I think that’s where the money and the future is.”

It takes a long time, and it’s very expensive for biotech and pharmaceutical firms to run clinical trials and, even preceding that, to identify compounds that are promising enough to start a clinical trial. The current estimate is about $2.6 billion in investment across a portfolio of compounds in order to statistically assure a company that they’re going to have one approved compound. Where do companies come up with that money, and in the current climate, is it difficult for companies to raise the funds they need in order to invest in those drugs?

Gotbetter: “That $2.6 billion figure also includes the cost of failure. Even if we think about a successful drug compound, if you boil down the numbers, hundreds and hundreds of drug candidates will be considered before you start your phase one and then roughly one in ten of those will make it through to approval. It’s fraught with risk. But even if you could streamline that process, you’re probably looking at hundreds of millions to a billion dollars.

The amount of money that’s poured into the biotech sector over the past few years has been remarkable. We’ve seen, though, a massive sea change in the past year. Biotech has been the engine of discovery and innovation for large pharmaceutical companies. The largest companies in the world that certainly have formidable R&D engines employing thousands of people still turn to biotech to find innovation, to find a compound that has been tested, that shows a proof of concept, and can move forward.

The headwinds of the past year or two – interest rates and some of the perceived threats of the Inflation Reduction Act, which could reduce pricing power of the industry – has really slowed down [venture capital] funding.

I think what that means is that probably the rate of innovation will slow down a little bit in the sense that there may be fewer programs being pursued simultaneously, so a company may really focus on the crown jewels instead of many at once. Then biotech may again have to be more reliant on Big Pharma once they’re in the middle of their development versus a period where they probably could see funding to go all the way through.”

What are the factors that make a drug widely adopted?

Franz: “In the medical oncology world, it’s really all about safety and efficacy. Is the drug difficult to give? Does the patient have a lot of adverse side effects? How do you manage those side effects? But most importantly, you’re looking at endpoints: PFS, or progression-free survival, and OS, or overall survival. Duration of response and response rate are biggies and, of course, the toxicity profile. All those together are important. The better the PFS and OS, the more successful the drug is going to be.”

Are biotech and pharmaceutical firms doing anything to try to run their trials differently – to be less expensive, to be shorter, to have higher probability of approval?

Gotbetter: “The FDA provides a rubric that says for very life-threatening diseases, it will work with the industry sponsor to find a way to streamline the therapy. We have names for that in the U.S like breakthrough therapies and accelerated pathways, where you get more support and guidance from the regulatory agency, but you’re also partnering with them along the way to find a way to expedite the study.

There’s a lot of companies that are using all sorts of AI, computational methods and synthetic biology to [speed up the trial process].”

Historically, clinical trials have been dominated by white men. Are biotech and pharmaceutical firms trying to diversify those trials? What are the implications potentially of a more representative group of patients in the testing phase?

Gotbetter: “There are mandates coming from the FDA and other governments, and I think very sincere efforts from the pharma industry and from clinical research organizations who enroll and operationalize the studies to really bring diversity into studies. There’s an awareness in society for many reasons, for many historical wrongs, we need to bring more diversity into everything we do. It’s to really ensure that when we study a drug, we’ll be able to show efficacy in different populations because we’re not all the same. Historically, if you were to develop a drug for people of European descent, across the globe in Asian markets, they would want to know that there was a study being done in populations for which the results were meaningful for them. As we take that to other populations, to different age groups, different genders, it’s the right thing to do.”

 

This post has been edited for length and clarity.

Want to learn more about the future of biopharma? Register for Cornell’s Biotech and Pharmaceutical Management Immersion Program and watch the full Keynote “Bringing New Science to Market” webcast online.

Cornell launches online fluid dynamics simulation certificate

Cornell University is partnering with software company Ansys to create a new certificate program that allows engineers from across the world to master simulation of fluid dynamics.

The Fluid Dynamics Simulations Using Ansys Certificate program will be globally available through the eCornell online learning platform beginning July 7, and will offer a number of courses that teach students and professionals how to create and validate simulations, such as flows over a car body, cooling fan and airplane body.

While commercial software is becoming easier to use for non-experts, simulation is still complex and requires a deep understanding of mathematical models and physical principles. The new courses aim to bridge the gap between theory and real-world simulation applications, and offer a self-paced format that allows participants flexibility in going through the course content.

Ansys develops, markets and supports engineering simulation software used to predict how product designs will behave in real-world environments and has a long history with Cornell. John Swanson ’61, M.Eng. ’63, founder of Ansys, is a long-time supporter of the university. He endowed the Swanson Director of Engineering Simulation position in the Sibley School of Mechanical and Aerospace Engineering—which is held by Senior Lecturer Rajesh Bhaskaran.

“Rajesh has been very effective in using online learning to provide practical simulation education to a broad audience within and outside Cornell,” said Swanson, who is the recipient of the 2021 Cornell Engineering Distinguished Alumni Award. “I am happy to see his impact expand further through the eCornell simulation courses.”

Simulation is increasingly being used in the workplace to solve complex engineering problems and is becoming an important aspect of an engineer’s skillset. Bhaskaran has helped introduce industry-standard simulation tools into Cornell courses covering fluid mechanics, heat transfer, solid mechanics, and numerical analysis. This has shown students how theoretical concepts can be used to solve practical problems involving complex geometries while also helping them secure jobs and internships.

“We are increasingly leveraging the power of engineering modeling and simulation, seamlessly, in the development, delivery and support of our products and services,” says Dan Newman ’83, chief engineer of advanced vertical lift at Boeing. “We rely on our knowledgeable and motivated workforce of well-rounded system-level thinkers to maximize the capability of engineering simulation to ensure and enhance quality, safety and affordability for all stakeholders throughout the product life cycle.

The new eCornell simulation certificate builds on Cornell’s Massive Open Online Course (MOOC), A Hands-on Introduction to Engineering Simulations, which recently surpassed 200,000 enrollments. The course is one of the most popular free MOOC’s offered by Cornell and was developed by Bhaskaran pre-COVID-19, when online learning wasn’t as common as it has become today. He saw online learning as a good platform to learn a tech-centered skill and wanted to reach a wide audience.

“Simulation is a disruptive technology that can be used to transform engineering curriculum at the university level,” said Bhaskaran. “As simulation becomes a standard feature of curriculum for teaching physics and applications, nearly every engineering graduate should be able to use simulation software effectively. Together with Ansys, we look forward to preparing engineers with the simulation skillset they need.”

Master data science programming in R with new certificate program

In a world run by data, the demand for this skill has never been higher. Data analytics is essential to almost every facet of decision-making across any organization. Glassdoor recently named it the #1 job in America, and in the top 3 must-have skills. Cornell’s new certificate program, Data Analytics in R, is designed to help take a fundamental understanding of analytics to a mastery of programming in R.

Ideal for any professional looking to scale their skills and knowledge, this program will teach techniques for understanding, modeling and visualizing data using R, including predictive and prescriptive analytics, machine learning, the Monte Carlo simulation and optimization methods for making both small and large scale decisions.

“The world has really progressed when it comes to data analytics. Today it is being used across all organizations and verticals, be it financial services or consumer goods or travel, to enable informed decisions on a daily basis,” said Chris Anderson, faculty author and Professor at the School of Hotel Administration within Cornell’s SC Johnson College of Business. “We’re now at a place where these are critical skills for people who want to set themselves apart.”

The program consists of three three-week courses:

  • Predictive Analytics in R
  • Clustering, Classification, and Machine Learning in R
  • Prescriptive Analytics in R

Upon completion, participants will receive a Data Analytics in R certificate from Cornell University. Learn more about this program by visiting the eCornell website.