S P E C I A L I S T I N S I G H T
Discovery Accelerator ’ s mission is education – providing training to develop the healthcare research and technology workforce of the future and creating jobs to grow the economy .
To that end , we have designed an innovative educational curriculum from high school to professional level , offering training and certification programmes in data science , Machine Learning and quantum computing .
This past summer , Cleveland Clinic hosted nine paid summer interns to work alongside researchers in labs utilising quantum and high-performance computing methods . We also held workshops for quantum education with The Coding School ( Qubit x Qubit ) for 40 Cleveland Metropolitan School District students and 40 regional high school and college educators .
In addition , we have recently launched partnerships with several local universities – Case Western Reserve University , Cleveland State University and Kent State . The goal of these partnerships is to prepare the next generation of healthcare professionals by increasing access to quantum computing , collaborating on research projects and cowriting grants .
We are also holding research symposia and workshops intended for academia , industry , government and the public .
Regarding the recent publication on Artificial Intelligence and immunity , could you discuss the significance of the findings in identifying new targets for immunotherapy and how this aligns with the goals of the Discovery Accelerator partnership ?
Researchers from Cleveland Clinic and IBM together published a strategy for identifying new targets for immunotherapy through Artificial Intelligence ( AI ). This is the first peer-reviewed publication from our Discovery Accelerator partnership , designed to advance research in healthcare and life sciences .
Researchers can incorporate these insights into other AI models moving forward to identify more effective immunotherapy targets .
This research is a great example of what makes this partnership successful – combining IBM ’ s cutting-edge computational resources with Cleveland Clinic ’ s biomedical research expertise to make new discoveries and advance medicine .
Could you discuss the significance of collaboration between medical institutions and technology companies in merging medicine with cutting-edge technology to drive forward advancements in healthcare and life sciences research ?
The collaboration between medical institutions and technology companies is of immense significance in merging medicine with cutting-edge technology to drive forward advancements in healthcare and life sciences research . By combining the expertise of medical professionals with the technological prowess of companies , the collaboration can lead to the development of innovative solutions that can revolutionise the healthcare industry .
Partnerships such as Cleveland Clinic ’ s with IBM leverage our complementary strengths to work towards making significant strides to transform healthcare and bring much-needed new treatments to patients .
Looking beyond the current initiatives , how do you envision the future of computing technology shaping clinical research and healthcare innovation ?
Healthcare and technology are advancing at a breakneck pace . As we continue to accelerate the fields , we will use emerging technologies to continue to innovate . This holds promise for faster medicines , cures and vaccines . �
The team worked together to develop supervised and unsupervised AI to reveal the molecular characteristics of peptide antigens , small pieces of protein molecules immune cells use to recognise threats . Project members came from diverse groups led by Cleveland Clinic ’ s Timothy Chan , M . D ., PhD , as well as IBM ’ s Jeff Weber , PhD , Senior Research Scientist , and Wendy Cornell , PhD , Manager and Strategy Lead for Healthcare and Life Sciences Accelerated Discovery .
Published in Briefings in Bioinformatics , the study found that AI models that account for changes in molecular shape over time can accurately depict how immune systems recognise a target antigen . Through these models , researchers could hone in on what processes are critical to target with immunotherapy treatments such as vaccines and engineered immune cells .
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