Widely available noninvasive brain scans for early detection of neurological disease. A visual prosthesis in the form of glasses that returns sight to people with previously incurable vision loss. Malone researchers are associated with these two boundary-pushing proposals funded in this year’s cycle of the Johns Hopkins University’s SURPASS initiative.
Launched in 2022, the SURPASS program—a joint effort between the university’s Whiting School of Engineering in Baltimore and the Applied Physics Laboratory in Laurel, Maryland—aims to solve some of the world’s most pressing problems and overcome seemingly insurmountable challenges.
“The four final SURPASS proposal teams demonstrated remarkable promise to take their research to the next level, and have been awarded funding to help realize this potential,” says Ed Schlesinger, the Benjamin T. Rome Dean of the Whiting School. “These proposals have the potential to lead to even larger translational efforts that have the potential to bring enormous benefit to people and society.”
“The projects selected for this cycle are focused on bold new technologies,” adds APL Director Ralph Semmel. “The innovative partnerships between APL and the Whiting School are inspiring both for our researchers and for the promise they hold to improve the lives of people around the world.”
The program’s second call for proposals garnered 36 white paper submissions, five of which were selected to be developed into full proposals. Ultimately, SURPASS awarded funding to four teams, providing a total of approximately $3.75 million across the selected teams for 18 months of performance. Three of these teams are continuing work from the program’s first cycle, based on the progress they’ve already made and the high potential of their work.
Each proposal is led by two principal investigators, one from APL and the other from WSE. SURPASS leverages WSE’s and APL’s technical strengths and research and development communities, supporting cross-divisional teams dedicated to using innovative, multidisciplinary approaches. The program pulls in experts from across JHU, including the university’s School of Medicine and the Bloomberg School of Public Health. Additionally, SURPASS partners with APL’s Research and Exploratory Development Mission Area, which serves as a transition agent, assisting with exposing SURPASS technologies more broadly.
Learn more about two of the teams selected to receive funding:
Organoid Intelligence: Synthetic Biological AI
Malone affiliate Brian Caffo, a professor of biostatistics in the Bloomberg School of Public Health, is one of the researchers on the team.
Our understanding of biological intelligence is still in its infancy, and the same might be said of AI. Integrating both into a single system holds the promise to dramatically improve our understanding of each and potentially produce a quantum leap in computing as we know it.
The Organoid Intelligence team is pioneering the use of brain organoids—3D cell culture models that are grown from adult human stem cells and mimic certain structural and functional properties of specific regions of the brain. Doing this will allow the team to gain insight into the emergence of intelligence in biological neural networks.
The OI team has made considerable progress with its first round of SURPASS funding. The team has created a prototype system for OI experiments, new methods for electrically stimulating and recording activity in organoids, innovative microfluidic devices to maintain the health and stability of the cell cultures, and novel machine learning and AI tasks to test these systems.
All of this has laid the groundwork for an even more impressive showing in the second round.
“The work we did in the first round of SURPASS has really set us up to advance discovery by growing larger organoids and developing more testing modalities and tasks to gain deeper insight into how these systems work,” says co-PI Thomas Hartung, the Doerenkamp-Zbinden Chair and a professor in the Department of Environmental Health and Engineering.
“In the new cycle, I would like to increase the complexity of the model by introducing more regions of the brain involved in learning and reward processing,” says Lena Smirnova, an assistant professor of environmental health and engineering and a member of the OI team.
“We’ve done some experiments to help us understand the mechanisms of long-term learning in these brain organoids—how the synapses change their connectivity strength in response to performing a task, which is one of the basic mechanisms of learning,” says co-PI Erik C. Johnson, an APL senior research scientist. “We’re also developing new interfaces and microfluidic systems that can work with the complex 3D cell cultures we’re creating and overcome the limitations of commercially available 2D systems.”
Beyond the scope of the second stage of SURPASS, he adds, the team will also formalize protocols for ensuring ethical oversight of this work.