An inviting beach in Nassau, Bahamas.
Dr. Conville Brown, a cardiologist-researcher in The Bahamas, is at the helm of a fascinating worldwide project: He's leading a movement to help accelerate innovation by providing scientists and patients from around the globe with a legal, cost-effective, and ethically rigorous place to conduct medical research, as well as to offer commercial therapies that are already approved in some jurisdictions, but not others. He recently spoke with Editor-In-Chief Kira Peikoff about The Bahamas' emerging ascendance in the scientific world. This interview has been edited and condensed for brevity.
"You don't want to take shortcuts from the perspective of not giving proper due diligence to the process, but you also don't want it to be overwhelmed with red tape."
Tell me about the work you do in the Bahamas – what is the research focus?
We have a couple research opportunities here. Several years ago, we established the Partners Clinical Research Centre, the idea being that we can partner with different people in different territories in the world, including the United States, and be able to perform ethical research as would be defined and adjudicated by an institutional review board and a properly constituted ethics committee. We do all of this with FDA rigor, but in a non-FDA jurisdiction.
By doing this, we want to look for the science behind the research, and want to know that there is a sound clinical hypothesis that's going to be tested. We also want to know that the safety of the human subjects is assured as much as possible, and of course, assess the efficacy of that which you're testing. We want to do this in the same manner as the FDA, except in a more accelerated and probably less bureaucratic manner. You don't want to take shortcuts from the perspective of not giving proper due diligence to the process, but you also don't want it to be overwhelmed with red tape, so that what could be 3 months takes 3 years. A jet ski turns around a lot faster than the Queen Mary.
Why do you think the clinical research process in other countries like the U.S. has become burdened with red tape?
The litigious nature of society is a contributing factor. If people are negligent, they deserve to be sued. Unfortunately, all too often, some things get taken too far, and sometimes, the pendulum swings too far in the wrong direction and then it's counterproductive, so the whole process then becomes so very heavily regulated and financially burdensome. A lot of American companies have gone outside the country to get their clinical trials and/or device testing done because it's too phenomenally expensive and time-consuming. We seek to make sure the same degree of diligence is exercised but in a lesser time frame, and of course, at a much lower cost.
The other aspect, of course, is that there are certain opportunities where we have major jurisdictions, as in Europe, that have determined that a therapy or device is safe. Those services and devices we can utilize in the Bahamas--not as a clinical research tool, but as a therapy, which of course, the United States is not able to do without FDA approval. That could easily take another five years. So there is an opportunity for us in that window to make available such therapies and devices to the North American community. I like to call this "Advanced Medical Tourism" or "Advanced TransNational Medical Care." Instead of somebody flying nine hours to Europe, they can also now fly to the Bahamas, as little as half an hour away, and as long as we are satisfied that the science is sound and the approvals are in place from a senior jurisdiction, then we can legally serve any patient that is eligible for that particular therapy.
Dr. Conville Brown
(Courtesy)
Are you seeing an influx of patients for that kind of medical tourism?
The numbers are increasing. The stem cell legislation has now been in place for two to three years, so we have a number of entities including some large international companies coming to the shores of the Bahamas to provide some therapies here, and others for research. The vast majority of our clientele are from abroad, particularly the U.S. We fully plan to increase the traffic flow to the Bahamas for medical tourism, or preferably, TransNational Medical Care, Advanced and Conventional.
How do patients find out about available therapies and trials happening there?
Advertising in the international arena for something that is perfectly legal within the confines of Bahamas is par for the course. But the marketing efforts have not been that heavy while all the processes and procedures are being fine-tuned and the various entities are set up to handle more than 100 people at a time.
"We were able to accelerate those programs, and do it a lot less expensively than can be done in continental countries, but just as well."
What kind of research is being done by companies who have come to the Bahamas?
We've been involved in first-in-man procedures for neuromodulation of the cardiovascular system, where we inserted a device into the blood vessels and stimulated the autonomic nervous system with a view to controlling patients' blood pressure and heart rate in conditions such as congestive heart failure. We have also looked at injectable glucose sensors, to continually monitor the blood glucose, and via a chip, can send the blood glucose measurement back to the patient's cell phone. So the patient looks at his phone for his blood sugar. That was phenomenally exciting, the clinical trial was very positive, and the company is now developing a final prototype to commercialize the product. We were able to accelerate those programs, and do it a lot less expensively than can be done in continental countries, but just as well. The Bahamas has also crafted legislation specifically for regenerative medicine and stem cell research, so that becomes an additional major attraction.
Do you ever find that there is skepticism around going to the Caribbean to do science?
When it comes to clinical research and new medical devices, one might be skeptical about the level of medical/scientific expertise that is resident here. We're here to show that we do in fact have that expertise resident within The Partners Clinical Research Centre, within The Partners Stem Cell Centre, and we have formed our partnerships accordingly so that when prudent and necessary, we bring in additional expertise from the very territories that are seeking to accelerate.
Have you seen a trend toward increasing interest from researchers around the world?
Absolutely. One company, for example, is interested not only in the clinical side, but also the preclinical side--where you can have animal lab experiments done in the Bahamas, and being able to bridge that more readily with the clinical side. That presents a major opportunity for parties involved because again, the financial savings are exponential without compromising standards.
"A person who is 75 and frail, he doesn't want to wait to see if he will make it to 80 to benefit from the agent if it's approved in five years. Instead he can come to our center."
Where are some of these researchers from?
The United States, the Czech Republic, Russia, Canada, and South America. I expect significantly more interest once we promote the idea of European products having a welcome niche in the Bahamas, because we accept federal approvals from the U.S., Canada, and the European Union.
What do you think will be the first medical breakthrough to come out of research there?
One of the biggest killers in the world is heart disease, and we have the opportunity to implement a number of cardiac protocols utilizing stem cell therapy, particularly for those with no options. We just completed a state-of-the art medical center that we fashioned after the University of Miami that is getting ready for prime time. The sky will be the limit for the cardiac patient with respect to stem cell medicine.
Second, we are extremely pleased to be involved with a company called Longeveron, which is looking at how one might age better, and age more slowly, particularly with the administration of young blood and mesenchymal stem cells to frail, elderly candidates. Healthy young men have their mesenchymal stem cells harvested, expanded, and then administered to frail, elderly individuals with a view to improving their Frailty Index and functionality (feeling younger). There is a lot of interest in this arena, as one could imagine.
And herein lies the classical scenario for the Bahamas: Longeveron is now recruiting patients for its phase IIB double blind, placebo-controlled clinical trial at multiple sites across the U.S., which will add some two to three years to its data collection. Originally this work was done with NIH support at the University of Miami's Interdisciplinary Stem Cell Institute by Dr. Joshua Hare, and published in the Journal of Gerontology. So now, during the ongoing and expanded clinical trial, with those positive signals, we are able to have a commercially available clinical registry in the Bahamas. This has been approved by the ethics committee here, which is comprised of international luminaries in regenerative medicine. Longeveron will also be conducting an additional randomized clinical trial arm of same at our Centre in The Bahamas, The Partners Stem Cell Centre.
Can you clarify what you mean by "registry"?
In other words, you still have to fit the eligibility criteria to receive the active agent, but the difference is that in a placebo-controlled double-blind clinical trial, the physician/researcher and the patient don't know if they are getting the active agent or placebo. In the registry, there is no placebo, and you know you're getting the active agent, what we call "open label." You're participating because of the previous information on efficacy and safety.
A person who is 75 and frail, he doesn't want to wait to see if he will make it to 80 to benefit from the agent if it's approved in five years. Instead he can come to our center, one of the designated centers, and as long as he meets the inclusion criteria, may participate in said registry. The additional data from our patients can bolster the numbers in the clinical trial, which can contribute to the FDA approval process. One can see how this could accelerate the process of discovery and acceptance, as well as prove if the agent was not as good as it was made out to be. It goes both ways.
"We would love to be known as a place that facilitates the acceleration of ethical science and ethical therapies, and therefore brings global relief to those in need."
Do you think one day the Bahamas will be more well-known for its science than its beaches?
I doubt that. What I would like to say is that the Bahamas would love to always be known for its beautiful beaches, but we would also like to be known for diversity and innovation. Apart from all that beauty, we can still play a welcoming role to the rest of the scientific world. We would love to be known as a place that facilitates the acceleration of ethical science and ethical therapies, and therefore brings global relief to those in need.
Basecamp Research is using portable labs like this one to gather samples from ecosystems around the world.
Clark works for Basecamp Research, a biotech company headquartered in London, and his job is to collect samples from ecosystems around the world. By extracting DNA from soil, water, plants, microbes and other organisms, Basecamp is building an extensive database of the Earth’s proteins. While DNA itself isn’t a protein, the information stored in DNA is used to create proteins, so extracting, sequencing, and annotating DNA allows for the discovery of unique protein sequences.
Using what they’re finding in the middle of the Atlantic and beyond, Basecamp’s detailed database is constantly growing. The outputs could be essential for cleaning up the damage done by toxic chemicals and finding alternatives to these chemicals.
Catalysts for change
Proteins provide structure and function in all living organisms. Some of these functional proteins are enzymes, which quite literally make things happen.
“Industrial chemistry is heavily polluting, especially the chemistry done in pharmaceutical drug development. Biocatalysis is providing advantages, both to make more complex drugs and to be more sustainable, reducing the pollution and toxicity of conventional chemistry," says Ahir Pushpanath, who heads partnerships for Basecamp.
“Enzymes are perfectly evolved catalysts,” says Ahir Pushpanath, a partnerships lead at Basecamp. ”Enzymes are essentially just a polymer, and polymers are made up of amino acids, which are nature’s building blocks.” He suggests thinking about it like Legos — if you have a bunch of Lego pieces and use them to build a structure that performs a function, “that’s basically how an enzyme works. In nature, these monuments have evolved to do life’s chemistry. If we didn’t have enzymes, we wouldn’t be alive.”
In our own bodies, enzymes catalyze everything from vision to digesting food to regrowing muscles, and these same types of enzymes are necessary in the pharmaceutical, agrochemical and fine chemical industries. But industrial conditions differ from those inside our bodies. So, when scientists need certain chemical reactions to create a particular product or substance, they make their own catalysts in their labs — generally through the use of petroleum and heavy metals.
These petrochemicals are effective and cost-efficient, but they’re wasteful and often hazardous. With growing concerns around sustainability and long-term public health, it's essential to find alternative solutions to toxic chemicals. “Industrial chemistry is heavily polluting, especially the chemistry done in pharmaceutical drug development,” Pushpanath says.
Basecamp is trying to replace lab-created catalysts with enzymes found in the wild. This concept is called biocatalysis, and in theory, all scientists have to do is find the right enzymes for their specific need. Yet, historically, researchers have struggled to find enzymes to replace petrochemicals. When they can’t identify a suitable match, they turn to what Pushpanath describes as “long, iterative, resource-intensive, directed evolution” in the laboratory to coax a protein into industrial adaptation. But the latest scientific advances have enabled these discoveries in nature instead.
Marlon Clark, a research scientist at Basecamp Research, looks for novel biochemistries in the Azores.
Glen Gowers
Enzyme hunters
Whether it’s Clark and a colleague setting off on an expedition, or a local, on-the-ground partner gathering and processing samples, there’s a lot to be learned from each collection. “Microbial genomes contain complete sets of information that define an organism — much like how letters are a code allowing us to form words, sentences, pages, and books that contain complex but digestible knowledge,” Clark says. He thinks of the environmental samples as biological libraries, filled with thousands of species, strains, and sequence variants. “It’s our job to glean genetic information from these samples.”
“We can actually dream up new proteins using generative AI," Pushpanath says.
Basecamp researchers manage this feat by sequencing the DNA and then assembling the information into a comprehensible structure. “We’re building the ‘stories’ of the biota,” Clark says. The more varied the samples, the more valuable insights his team gains into the characteristics of different organisms and their interactions with the environment. Sequencing allows scientists to examine the order of nucleotides — the organic molecules that form DNA — to identify genetic makeups and find changes within genomes. The process used to be too expensive, but the cost of sequencing has dropped from $10,000 a decade ago to as low as $100. Notably, biocatalysis isn’t a new concept — there have been waves of interest in using natural enzymes in catalysis for over a century, Pushpanath says. “But the technology just wasn’t there to make it cost effective,” he explains. “Sequencing has been the biggest boon.”
AI is probably the second biggest boon.
“We can actually dream up new proteins using generative AI,” Pushpanath says, which means that biocataylsis now has real potential to scale.
Glen Gowers, the co-founder of Basecamp, compares the company’s AI approach to that of social networks and streaming services. Consider how these platforms suggest connecting with the friends of your friends, or how watching one comedy film from the 1990s leads to a suggestion of three more.
“They’re thinking about data as networks of relationships as opposed to lists of items,” says Gowers. “By doing the same, we’re able to link the metadata of the proteins — by their relationships to each other, the environments in which they’re found, the way those proteins might look similar in sequence and structure, their surrounding genome context — really, this just comes down to creating a searchable network of proteins.”
On an Azores island, this volcanic opening may harbor organisms that can help scientists identify enzymes for biocatalysis to replace toxic chemicals.
Emma Bolton
Uwe Bornscheuer, professor at the Institute of Biochemistry at the University of Greifswald, and co-founder of Enzymicals, another biocatalysis company, says that the development of machine learning is a critical component of this work. “It’s a very hot topic, because the challenge in protein engineering is to predict which mutation at which position in the protein will make an enzyme suitable for certain applications,” Bornscheuer explains. These predictions are difficult for humans to make at all, let alone quickly. “It is clear that machine learning is a key technology.”
Benefiting from nature’s bounty
Biodiversity commonly refers to plants and animals, but the term extends to all life, including microbial life, and some regions of the world are more biodiverse than others. Building relationships with global partners is another key element to Basecamp’s success. Doing so in accordance with the access and benefit sharing principles set forth by the Nagoya Protocol — an international agreement that seeks to ensure the benefits of using genetic resources are distributed in a fair and equitable way — is part of the company's ethos. “There's a lot of potential for us, and there’s a lot of potential for our partners to have exactly the same impact in building and discovering commercially relevant proteins and biochemistries from nature,” Clark says.
Bornscheuer points out that Basecamp is not the first company of its kind. A former San Diego company called Diversa went public in 2000 with similar work. “At that time, the Nagoya Protocol was not around, but Diversa also wanted to ensure that if a certain enzyme or microorganism from Costa Rica, for example, were used in an industrial process, then people in Costa Rica would somehow profit from this.”
An eventual merger turned Diversa into Verenium Corporation, which is now a part of the chemical producer BASF, but it laid important groundwork for modern companies like Basecamp to continue to scale with today’s technologies.
“To collect natural diversity is the key to identifying new catalysts for use in new applications,” Bornscheuer says. “Natural diversity is immense, and over the past 20 years we have gained the advantages that sequencing is no longer a cost or time factor.”
This has allowed Basecamp to rapidly grow its database, outperforming Universal Protein Resource or UniProt, which is the public repository of protein sequences most commonly used by researchers. Basecamp’s database is three times larger, totaling about 900 million sequences. (UniProt isn’t compliant with the Nagoya Protocol, because, as a public database, it doesn’t provide traceability of protein sequences. Some scientists, however, argue that Nagoya compliance hinders progress.)
“Eventually, this work will reduce chemical processes. We’ll have cleaner processes, more sustainable processes," says Uwe Bornscheuer, a professor at the University of Greifswald.
With so much information available, Basecamp’s AI has been trained on “the true dictionary of protein sequence life,” Pushpanath says, which makes it possible to design sequences for particular applications. “Through deep learning approaches, we’re able to find protein sequences directly from our database, without the need for further laboratory-directed evolution.”
Recently, a major chemical company was searching for a specific transaminase — an enzyme that catalyzes a transfer of amino groups. “They had already spent a year-and-a-half and nearly two million dollars to evolve a public-database enzyme, and still had not reached their goal,” Pushpanath says. “We used our AI approaches on our novel database to yield 10 candidates within a week, which, when validated by the client, achieved the desired target even better than their best-evolved candidate.”
Basecamp’s other huge potential is in bioremediation, where natural enzymes can help to undo the damage caused by toxic chemicals. “Biocatalysis impacts both sides,” says Gowers. “It reduces the usage of chemicals to make products, and at the same time, where contamination sites do exist from chemical spills, enzymes are also there to kind of mop those up.”
So far, Basecamp's round-the-world sampling has covered 50 percent of the 14 major biomes, or regions of the planet that can be distinguished by their flora, fauna, and climate, as defined by the World Wildlife Fund. The other half remains to be catalogued — a key milestone for understanding our planet’s protein diversity, Pushpanath notes.
There’s still a long road ahead to fully replace petrochemicals with natural enzymes, but biocatalysis is on an upward trajectory. "Eventually, this work will reduce chemical processes,” Bornscheuer says. “We’ll have cleaner processes, more sustainable processes.”
In an initial study, Canary analyzed speech recordings with AI and identified early stage Alzheimer’s with 96 percent accuracy.
Arnold was diagnosed sooner than many others. It's important to find out early, when interventions can make the most difference. One promising avenue is looking at how people talk. Research has shown that Alzheimer’s affects a part of the brain that controls speech, resulting in small changes before people show other signs of the disease.
Now, Canary Speech, a company based in Utah, is using AI to examine elements like the pitch of a person’s voice and their pauses. In an initial study, Canary analyzed speech recordings with AI and identified early stage Alzheimer’s with 96 percent accuracy.
Developing the AI model
Canary Speech’s CEO, Henry O’Connell, met cofounder Jeff Adams about 40 years before they started the company. Back when they first crossed paths, they were both living in Bethesda, Maryland; O’Connell was a research fellow at the National Institutes of Health studying rare neurological diseases, while Adams was working to decode spy messages. Later on, Adams would specialize in building mathematical models to analyze speech and sound as a team leader in developing Amazon's Alexa.
It wasn't until 2015 that they decided to make use of the fit between their backgrounds. ““We established Canary Speech in 2017 to build a product that could be used in multiple languages in clinical environments,” O'Connell says.
The need is growing. About 55 million people worldwide currently live with Alzheimer’s, a number that is expected to double by 2050. Some scientists think the disease results from a buildup of plaque in the brain. It causes mild memory loss at first and, over time, this issue get worse while other symptoms, such as disorientation and hallucinations, can develop. Treatment to manage the disease is more effective in the earlier stages, but detection is difficult since mild symptoms are often attributed to the normal aging process.
O’Connell and Adams specialize in the complex ways that Alzheimer’s effects how people speak. Using AI, their mathematical model analyzes 15 million data points every minute, focusing on certain features of speech such as pitch, pauses and elongation of words. It also pays attention to how the vibrations of vocal cords change in different stages of the disease.
To create their model, the team used a type of machine learning called deep neural nets, which looks at multiple layers of data - in this case, the multiple features of a person’s speech patterns.
“Deep neural nets allow us to look at much, much larger data sets built out of millions of elements,” O’Connell explained. “Through machine learning and AI, we’ve identified features that are very sensitive to an Alzheimer’s patient versus [people without the disease] and also very sensitive to mild cognitive impairment, early stage and moderate Alzheimer's.” Based on their learnings, Canary is able to classify the disease stage very quickly, O’Connell said.
“When we’re listening to sublanguage elements, we’re really analyzing the direct result of changes in the brain in the physical body,” O’Connell said. “The brain controls your vocal cords: how fast they vibrate, the expansion of them, the contraction.” These factors, along with where people put their tongues when talking, function subconsciously and result in subtle changes in the sounds of speech.
Further testing is needed
In an initial trial, Canary analyzed speech recordings from phone calls to a large U.S. health insurer. They looked at the audio recordings of 651 policyholders who had early stage Alzheimer’s and 1018 who did not have the condition, aiming for a representative sample of age, gender and race. They used this data to create their first diagnostic model and found that it was 96 percent accurate in identifying Alzheimer’s.
Christian Herff, an assistant professor of neuroscience at Maastricht University in the Netherlands, praised this approach while adding that further testing is needed to assess its effectiveness.
“I think the general idea of identifying increased risk for cognitive impairment based on speech characteristics is very feasible, particularly when change in a user’s voice is monitored, for example, by recording speech every year,” Herff said. He noted that this can only be a first indication, not a full diagnosis. The accuracy still needs to be validated in studies that follows individuals over a period of time, he said.
Toby Walsh, a professor of artificial intelligence at the University of New South Wales, also thinks Canary’s tool has potential but highlights that Canary could diagnose some people who don’t really have the disease. “This is an interesting and promising application of AI,” he said, “but these tools need to be used carefully. Imagine the anxiety of being misdiagnosed with Alzheimer’s.”
As with many other AI tools, privacy and bias are additional issues to monitor closely, Walsh said.
Other languages
A related issue is that not everyone is fluent in English. Mahnaz Arvaneh, a senior lecturer in automatic control and systems engineering at the University of Sheffield, said this could be a blind spot.
“The system may not be very accurate for those who have English as their second language as their speaking patterns would be different, and any issue might be because of language deficiency rather than cognitive issues,” Arvaneh said.
The team is expanding to multiple languages starting with Japanese and Spanish. The elements of the model that make up the algorithm are very similar, but they need to be validated and retrained in a different language, which will require access to more data.
Recently, Canary analyzed the phone calls of 233 Japanese patients who had mild cognitive impairment and 704 healthy people. Using an English model they were able to identify the Japanese patients who had mild cognitive impairment with 78 percent accuracy. They also developed a model in Japanese that was 45 percent accurate, and they’re continuing to train it with more data.
The future
Canary is using their model to look at other diseases like Huntington’s and Parkinson’s. They’re also collaborating with pharmaceuticals to validate potential therapies for Alzheimer’s. By looking at speech patterns over time, Canary can get an indication of how well these drugs are working.
Dave Arnold and his wife dance at his nephew’s wedding in Rochester, New York, ten years ago, before his Alzheimer's diagnosis.
Dave Arnold
Ultimately, they want to integrate their tool into everyday life. “We want it to be used in a smartphone, or a teleconference call so that individuals could be examined in their home,” O’Connell said. “We could follow them over time and work with clinical teams and hospitals to improve the evaluation of patients and contribute towards an accurate diagnosis.”
Arnold, the patient with early stage Alzheimer’s, sees great promise. “The process of getting a diagnosis is already filled with so much anxiety,” he said. “Anything that can be done to make it easier and less stressful would be a good thing, as long as it’s proven accurate.”