What if your health data could save a life? | Ashley Van Zeeland | TEDxSanDiegoWomen

Key Concepts

• Shift from Lone Genius to Team Science: The traditional romanticized image of a solitary scientist making groundbreaking discoveries is outdated. Modern scientific progress, especially in biomedical fields, relies heavily on collaboration.
• Collaborative Innovation: Since 2020, nearly all Nobel Prizes in science have been awarded to collaborators, highlighting the importance of teamwork in complex fields like gene editing, AI-driven protein prediction, and receptor discovery.
• Citizen Science: Individuals contributing their health data, genetic information, and even wearable device data are essential "fuel" for biomedical innovation. They are not passive subjects but active collaborators.
• Personalized Medicine: Tailoring medical treatments and diagnostics to an individual's unique genetic makeup and health profile.
• Large-Scale Population Studies: Initiatives like the NIH's "All of Us" study collect data from thousands of volunteers to identify biomarkers and genetic factors for various diseases.
• Open Data Sharing Platforms: Platforms like "Patients Like Me" enable individuals with rare conditions to share their information with researchers, accelerating understanding of symptoms and potential treatments.
• CRISPR Gene Editing: A revolutionary technology used to precisely edit DNA, enabling the development of personalized gene therapies.
• Lipid Nanoparticles: A delivery mechanism used to transport gene editing tools like CRISPR into specific cells.
• Genomic Variation: The millions of differences (mutations or variations) in an individual's DNA sequence, which can be benign or disease-causing.
• Needle in a Haystack Problem: Identifying a single disease-causing genetic mutation among millions of variations requires extensive databases and computational power.
• Hyperspeed Science: The current era of rapid scientific advancement driven by new technologies and collaborative efforts.
• Data Privacy and Consent: Emphasizing that research participation is voluntary and governed by laws and robust protections against genetic discrimination.

The Old Paradigm vs. The New Era of Collaboration

The video begins by challenging the romanticized notion of the "lone genius" scientist, citing historical figures like Thomas Edison, Jonas Salk, and Albert Einstein. The speaker argues that this is an "old paradigm" and that modern science, particularly biomedical science, has become too vast and complex for individual efforts.

Key Point: Since 2020, almost all Nobel Prizes in science have been awarded to collaborators, recognizing advancements in areas such as:

• Discovery of new touch and temperature receptors.
• CRISPR gene editing system.
• AI-driven protein structure prediction.

This trend underscores the necessity of "deep, diverse, and fast-moving collaboration" for scientific progress.

The Essential Role of the Public in Biomedical Innovation

The speaker emphasizes that this collaborative effort "needs all of us," including doctors, scientists, technologists, data scientists, and crucially, individuals whose "health data and genetic information are really now the essential fuel driving the innovations and biomedical discoveries of tomorrow."

Examples of Public Contribution:

• Large-scale population studies: The NIH's "All of Us" study in the US is mentioned as an example that pulls data from thousands of volunteers to identify new biomarkers and genetics for diseases like Alzheimer's, certain cancers, heart disease, and diabetes.
• Open data sharing platforms: "Patients Like Me" allows individuals with rare conditions to contribute their information to researchers, aiding in understanding symptoms and potential treatments, speeding diagnoses, and even repurposing drugs.

The speaker, a neuroscientist turned neurogeneticist and bioinformatician with a business degree focused on personalized medicine, highlights their own work in diagnosing rare diseases, profiling tumors, informing therapies, and compiling genomic data sets, all of which were made possible by patient and public participation.

Case Study: Saving KJ's Life Through Collaborative, Personalized Medicine

A compelling story is shared about a baby named KJ, who was diagnosed with a severe metabolic disorder within two days of birth due to a single mutation in the CPS1 gene. Without treatment, he faced a dangerous liver transplant or death.

Revolutionary Treatment Process:

1. Rapid Whole Genome Sequencing: Performed by the medical team at Children's Hospital of Philadelphia to test for over 6,000 diseases.
2. Identification of Mutation: A single mutation in the CPS1 gene was identified.
3. Personalized Gene Editing Therapy: For the first time, scientists developed a custom CRISPR gene editor tailored to KJ's unique mutation.
4. Delivery Mechanism: A lipid nanoparticle was engineered to deliver the CRISPR therapy.
5. Pre-clinical Studies: Rigorous safety testing was conducted.
6. Regulatory Approval: Expedited reviews were managed with regulators.
7. Dosing: KJ began receiving the personalized medicine within six months.
8. Recovery: Within the first dose, KJ showed signs of recovery, and after three doses, he was discharged.

Key Argument: This "monumental effort" was only possible due to "seamless collaboration between teams of experts" in various fields and, importantly, the availability of genetic information from thousands of patients and volunteers.

Technical Detail: The challenge of identifying a single disease-causing mutation among millions of variations in a genome (over three billion base pairs of A's, T's, G's, and C's) is described as a "needle in a haystack problem." The more data in databases of known safe and disease-causing variations, the faster these culprits can be identified. This process, from symptoms to diagnosis to treatment for KJ, took just over six months, a feat that typically takes years.

The Necessity of Public Involvement in "Hyperspeed Science"

The speaker reiterates that the shift from "lone genius to team science" is not merely a preference but a necessity driven by the sheer volume of biological information generated by modern tools like DNA sequencing, electronic medical records, and wearables.

How You Might Already Be Participating:

• Using services like 23andMe.
• Being part of an integrated health network.
• Wearing devices like Fitbit, Apple Watch, or Aura Ring.
• Donating blood or having tissue removed during medical procedures.

Impact of Data: Large-scale anonymized patient and public health data are leading to the discovery of non-invasive biomarkers, new categories of screening tests, diagnostics, and monitoring tools. This approach is also used to test the effectiveness of popular drugs like GLP1s across diverse populations.

Empowering the Citizen Scientist

The video encourages individuals to see themselves not as "passive anonymous subjects" but as "citizen scientists," vital collaborators with agency and purpose.

Ways to Participate:

• Consenting to share medical data or remnant tissue samples for research.
• Opting in to share genetic information or wearable device data for research use.
• Volunteering for large population studies.

Addressing Concerns about Data Privacy: The speaker acknowledges potential fears of dystopian futures depicted in media like "Gattaca" but assures the audience of two critical points:

1. Legal Protections: Laws and robust protections are in place to guard against genetic discrimination.
2. Informed Consent: Studies do not take data without consent; they invite participation and empower individuals to shape the ethics, data usage, and communication of discoveries.

Global Initiatives: Numerous population-scale research programs are underway globally, including:

• NIH's "All of Us" study (US).
• "Our Future Health" (UK).
• The Qatar Genome Program.

Conclusion: The Stakes and the Call to Action

The video concludes by emphasizing what is at stake: "Everything from early detection to personalized cures." The speaker asserts that individuals can be the "key to saving a life," whether it's a baby like KJ, a loved one, or even oneself. The "science of tomorrow – hyperspeed, hyperscale, and deeply collaborative – needs all of us to move it forward."