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    Education

    The Future of Everything – Stanford Engineering

    Host Russ Altman, a professor of bioengineering, genetics, and medicine at Stanford, is your guide to the latest science and engineering breakthroughs. Join Russ and his guests as they explore cutting-edge advances that are shaping the future of everything from AI to health and renewable energy.
    Along the way, “The Future of Everything” delves into ethical implications to give listeners a well-rounded understanding of how new technologies and discoveries will impact society. Whether you’re a researcher, a student, or simply curious about what’s on the horizon, tune in to stay up-to-date on the latest developments that are transforming our world.

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    Copyright: © All rights reserved

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    Latest Episodes:
    The future of exercise Jun 28, 2024
    Show notes

    Jonathan Long is a biochemist who studies the chemicals produced during exercise. In Long’s world, “you always start with molecules,” which offer “clean handles” to understanding complex processes. His lab has identified a chemical produced in the digestive tract during exercise that can make a person stop eating. Long now studies this “gut-brain axis” for ways to treat obesity, diabetes, and, perhaps, even age-related conditions like dementia, as he tells host Russ Altman on this episode of Stanford Engineering’s The Future of Everything podcast.

    Episode Reference Links:

    • Stanford Profile: Jonathan Z. Long
    • Jonathan’s Lab: LongLab@Stanford
    • Study on Endocannabinoids and Exercise Motivation: The Endocannabinoid System and Physical Exercise

    Connect With Us:

    • Episode Transcripts >>> The Future of Everything Website
    • Connect with Russ >>> Threads / Bluesky / Mastodon
    • Connect with School of Engineering >>> Twitter/X / Instagram / LinkedIn / Facebook

    Chapters:

    (00:00:00) Introduction

    Host Russ Altman introduces guest Jonathan Long, a professor of pathology at Stanford University

    (00:02:30) Effective Weight Loss Drugs

    The increase of effective weight loss drugs, and the history and development of these GLP-1 receptor agonists.

    (00:04:03) Understanding Metabolism and Exercise

    Outline of metabolic chemicals released during physical activity and their potential to combat obesity and diabetes.

    (00:05:38) Animal Models in Exercise Studies

    The use of animal models in exercise studies and the discovery of Lac-Phe.

    (00:07:15) Psychological Preparation for Exercise

    The psychological aspects of exercise and the involvement of endocannabinoids in exercise motivation.

    (00:09:28) Lac-Phe's Role and Mechanism

    The role of Lac-Phe and its production in the gut.

    (00:12:21) Differences in Exercise Response

    Differences in exercise response between trained athletes and untrained individuals.

    (00:13:25) Diabetes and Metabolic Diseases

    The relationship between diabetes, exercise, and metabolic diseases.

    (00:15:29) Lac-Phe as a Potential Therapeutic

    The potential of Lac-Phe as a weight loss drug, and parallels to GLP-1 drug development.

    (00:16:48) Importance of How Weight is Lost

    Whether the method of weight-loss matters, and the importance of preserving lean muscle mass.

    (00:19:40) Exercise as Medicine

    The concept of exercise as medicine, and defining physical activity at the same resolution as modern medicines.

    (00:22:39) Metformin and Exercise Pathways

    The unexpected connection between metformin and the Lac-Phe pathway.

    (00:24:08) Prospects of an Exercise Pill

    The future of an exercise pill, and the scientific challenges associated with its development.

    (00:27:33) Conclusion

    Connect With Us:

    Episode Transcripts >>> The Future of Everything Website

    Connect with Russ >>> Threads / Bluesky / Mastodon

    Connect with School of Engineering >>>Twitter/X / Instagram / LinkedIn / Facebook


    Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.


    Best of: The future of proteins Jun 21, 2024
    Show notes

    We’re digging back into our archives with an episode with bioengineer Polly Fordyce. Polly studies the form and function of proteins. She refers to proteins as the “workhorses” that make things in the body happen, and her study of these molecules reveals a greater understanding of human life. We hope you’ll tune in to this conversation again, and enjoy.

    Episode Reference Links:

    • Stanford Profile: Polly Fordyce
    • Polly’s Lab: The Fordyce Lab

    Connect With Us:

    • Episode Transcripts >>> The Future of Everything Website
    • Connect with Russ >>> Threads / Bluesky / Mastodon
    • Connect with School of Engineering >>> Twitter/X / Instagram / LinkedIn / Facebook

    Chapters:

    (00:00:00) Introduction

    Host Russ Altman introduces guest Polly Fordyce, a professor of bioengineering and genetics at Stanford University.

    (00:01:51) What are Proteins?

    The basics of proteins and their crucial roles in the body.

    (00:05:01) Protein Structure and Function

    The relationship between protein structure and function.

    (00:07:07) Innovations in Protein Research

    The high-throughput technologies used in the lab to study protein functions.

    (00:09:44) Mutant Proteins and Functional Variants

    How mutations in proteins affect their function and structure, using the example of the protein PafA.

    (00:14:24) The Impact of Protein Research on Medicine

    Insight into how protein mutations can aid in developing targeted therapies.

    (00:17:37) Proteins and DNA Interaction

    The role of proteins in reading DNA and regulating gene expression.

    (00:21:41) Transcription Factors and DNA Binding

    The relationship between transcription factors and specific DNA sequences.

    (00:25:36) Mechanisms of Transcription Activation

    The process of transcription activation and the role of co-activators and RNA polymerase.

    (00:28:15) Future Directions in Protein Research

    The future of protein research, including making advanced research tools more accessible.

    (00:30:36) Conclusion

    Connect With Us:

    Episode Transcripts >>> The Future of Everything Website

    Connect with Russ >>> Threads / Bluesky / Mastodon

    Connect with School of Engineering >>>Twitter/X / Instagram / LinkedIn / Facebook


    Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.


    The future of computer-aided education Jun 14, 2024
    Show notes

    Chris Piech is a professor of computer science who studies how computers can help students learn. In comparing human- and computer-aided education, he says humans are great one-on-one, but AI is more consistent at grading and feedback. He and colleagues have created several generative AI grading apps to take advantage of these relative strengths, as he tells host Russ Altman on this episode of Stanford Engineering’s The Future of Everything podcast.

    Episode Reference Links:

    • Stanford Profile: Christopher Piech
    • Stanford Coding Program: Code in Place

    Connect With Us:

    • Episode Transcripts >>> The Future of Everything Website
    • Connect with Russ >>> Threads / Bluesky / Mastodon
    • Connect with School of Engineering >>> Twitter/X / Instagram / LinkedIn / Facebook

    Chapters:

    (00:00:00) Introduction

    Host Russ Altmans introduces guest Chris Piech, a professor of computer science at Stanford University.

    (00:01:50) Defining Coding and Its Challenges

    What coding entails for beginners and the challenges associated with learning to code.

    (00:03:37) Enhancing Learning with Computers

    How computers and AI can be used to make learning more enjoyable and effective.

    (00:05:12) Human Connection in Education

    The significance of teacher-student relationships and how recent learners can be effective teachers.

    (00:07:02) AI and Coding Education

    The impact of AI on professional coding and how it can enhance the learning experience for new coders.

    (00:08:48) Joy of Programming

    The creative joy of programming and how AI tools can elevate the creation process.

    (00:11:57) Comparing Human and AI Tutors

    Results from experiments comparing the effectiveness of human and AI tutors.

    (00:14:43) Fair and Effective Assessment

    Challenges and strategies for fair and effective computational assessment of students' work.

    (00:16:42) Addressing Bias and Fairness in Grading

    Demographic fairness in grading algorithms and the potential biases in different subjects.

    (00:20:52) Interactive and Unstructured Feedback

    Using AI to provide feedback on unstructured and interactive student work, like games and apps.

    (00:25:30) Expanding Beyond Academic Tests

    Application of AI in non-academic assessments, such as medical tests, to improve accuracy and efficiency.

    (00:27:42) Generative Grading

    Introduction to generative grading, where AI generates potential misconceptions to help with grading and feedback.

    (00:31:37) Conclusion

    Connect With Us:

    Episode Transcripts >>> The Future of Everything Website

    Connect with Russ >>> Threads / Bluesky / Mastodon

    Connect with School of Engineering >>>Twitter/X / Instagram / LinkedIn / Facebook


    Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.


    The future of effective communication Jun 07, 2024
    Show notes

    Guest Matt Abrahams is a master communicator who helps others overcome their fear of speaking — before live audiences, in small groups, or even one-on-one. His catchphrase, “Think Fast, Talk smart,” describes a mindset that, he says, is key to speaking well. Thinking fast is the ability to recognize and respond to patterns in order to talk smart — becoming more salient, relevant, and concise in the process. Abrahams coaches host Russ Altman on how to talk smart on this episode of Stanford Engineering’s The Future of Everything podcast.

    Episode Reference Links:

    • Matt Abrahams: Website
    • Stanford Profile: Website
    • Matt’s Podcast: Think Fast, Talk Smart: The Podcast

    Connect With Us:

    • Episode Transcripts >>> The Future of Everything Website
    • Connect with Russ >>> Threads / Bluesky / Mastodon
    • Connect with School of Engineering >>> Twitter/X / Instagram / LinkedIn / Facebook

    Chapters:

    (00:00:00) Introduction

    Host Russ Altman introduces Matt Abrahams, an expert on communication and lecturer at Stanford Graduate School of Business.

    (00:02:04) The Power of Thinking Fast and Talking Smart

    Matt explains the concept behind his catchphrase and podcast, "Think Fast, Talk Smart".

    (00:06:22) Addressing Speaking Anxiety

    The prevalence of speaking anxiety, its evolutionary roots, and how it has evolved with modern communication tools.

    (00:08:46) Impact of AI on Communication

    How LLMs like ChatGPT can aid in preparation for speaking engagements and assist non-native speakers with communication.

    (00:11:33) Virtual vs. In-Person Communication

    Differences between in-person and virtual communication and how individuals can adapt to virtual communication environments.

    (00:13:59) Handling Difficult Questions

    Strategies for responding to questions when you don't know the answer or can't legally or ethically provide one.

    (00:17:18) Structuring Effective Communications

    Methods for structuring communications to ensure clarity and impact.

    (00:22:10) Cultural Influences on Communication

    The impact of cultural differences on communication styles and the importance of sensitivity and adaptation.

    (00:25:11) Reevaluating the Use of Presentation Tools

    The appropriate use of PowerPoint and other visual aids in presentations, with tips for making visuals effective and audience-focused.

    (00:29:21) Conclusion

    Connect With Us:

    Episode Transcripts >>> The Future of Everything Website

    Connect with Russ >>> Threads / Bluesky / Mastodon

    Connect with School of Engineering >>>Twitter/X / Instagram / LinkedIn / Facebook


    Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.


    Best of: What happens when computers can write like humans May 31, 2024
    Show notes

    We’re bringing you a timely best-of episode, given the recent advances in generative AI tools like ChatGPT. A couple years ago we interviewed Jeff Hancock, a Stanford professor of communication whose research explores the psychological and interpersonal processes at play when people communicate with each other and with computers. At the time of this conversation, ChatGPT wasn’t yet available to the public, but today Jeff’s insights about how such technologies impact the ways we communicate seem more relevant than ever. We hope you’ll take another listen and enjoy.

    Episode Reference Links:

    • Stanford Profile: Jeffrey Hancock
    • Jeff’s Lab: Stanford Social Media Lab
    • Stanford’s AI Institute: Stanford HAI
    • Jeff and Jeremy Bailenson’s paper on deep fakes: The Social Impact of Deepfakes
    • Jeff's paper on AI accessibility: Not All AI are Equal: Exploring the Accessibility of AI-Mediated Communication Technology
    • Jeff’s paper on encountering fake news: Credibility Perceptions and Detection Accuracy of Fake News Headlines on Social Media
    • Original episode: Ep.177 What Happens When Computers Can Write Like Humans Website / YouTube

    Connect With Us:

    • Episode Transcripts >>> The Future of Everything Website
    • Connect with Russ >>> Threads / Bluesky / Mastodon
    • Connect with School of Engineering >>> Twitter/X / Instagram / LinkedIn / Facebook

    Chapters:

    (00:00:00) Introduction

    Host Russ Altman introduces guest Jeff Hancock, a professor of communications at Stanford University.

    (00:03:04) Evolution of Communication

    How social media and AI tools like spellcheck have changed the way we communicate.

    (00:04:08) AI in Everyday Communication

    The role of AI in daily communication tasks, like email responses, and whether this is beneficial or problematic.

    (00:06:35) Authenticity and Bias in AI Communication

    The potential biases in AI-generated language and its societal implications.

    (00:08:42) Large Language Models and Their Capabilities

    Overview of large language models like GPT-3 and their ability to generate human-like text.

    (00:10:34) Practical Uses and Implications of AI-Generated Text

    Practical applications of AI in generating text for marketing, education, and other fields.

    (00:12:18) Tailoring AI Messages

    The potential of AI to create personalized messages for different demographics.

    (00:14:49) Ethical Considerations in AI-Assisted Writing

    The ethical dilemmas in education regarding AI-assisted writing.

    (00:17:15) AI and Disinformation

    The risks associated with AI-generated disinformation and its impact on society.

    (00:21:06) AI in Advertising and Marketing

    AI's role in advertising and marketing, including the ethical considerations of using AI to create highly persuasive content.

    (00:22:38) Building Resilience Against Disinformation

    Tips for individuals to build resilience against disinformation.

    (00:26:35) Conclusion

    Connect With Us:

    Episode Transcripts >>> The Future of Everything Website

    Connect with Russ >>> Threads / Bluesky / Mastodon

    Connect with School of Engineering >>>Twitter/X / Instagram / LinkedIn / Facebook


    Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.


    The future of the universe May 24, 2024
    Show notes

    Astrophysicist Risa Wechsler studies the evolution of the universe. She says that our understanding of how the universe formed and how it will change over time is changing as new technologies for seeing and measuring space come online, like a new high-resolution camera that can quickly map the full sky to see everything that moves, or new spectrographs that will map the cosmos in 3D and enable us to get new clues about the elusive dark matter. You can’t understand the universe or our presence in it until you understand dark matter, Wechsler tells host Russ Altman on this episode of Stanford Engineering’s The Future of Everything podcast.

    Episode Reference Links:

    • Risa Wechsler: Website
    • Stanford Profile: Website
    • SLAC National Accelerator Laboratory
    • Legacy Survey of Space and Time (LSST) | Rubin Observatory
    • Dark Energy Spectroscopic Instrument (DESI)
    • The SAGA Survey

    Connect With Us:

    • Episode Transcripts >>> The Future of Everything Website
    • Connect with Russ >>> Threads / Bluesky / Mastodon
    • Connect with School of Engineering >>> Twitter/X / Instagram / LinkedIn / Facebook

    Chapters:

    (00:00:00) Introduction

    Russ Altman introduces guest Professor Risa Wechsler, professor of physics, particle physics, and astrophysics from Stanford University.

    (00:01:46) Tools for Studying the Universe

    Technologies and methods used to study galaxies and the universe, including the Rubin Observatory's Legacy Survey of Space and Time.

    (00:04:37) Understanding Maps of the Universe

    The concept of mapping the universe in two and three dimensions, the significance of redshifts, and the application of spectroscopy.

    (00:08:56) The Structure and Scale of the Universe

    The age, expansion, and overall structure of the universe, touching on its isotropic nature and clumpiness on different scales.

    (00:12:23) Delving into Galaxy Formation and Evolution

    An in-depth look at galaxy formation, the role of dark matter, and how galaxies have evolved over billions of years.

    (00:14:49) The Diversity of Galaxies and Their Structures

    The various types of galaxies, including satellite and dwarf galaxies, and how they form and evolve differently.

    (00:18:56) Dark Matter and Dark Energy

    The fundamental aspects of dark matter and dark energy, their role in the universe, and the challenges in studying them.

    (00:22:32) Mapping the Universe with Modern Tools

    How current technologies and methods contribute to our understanding of the universe’s expansion and structure

    (00:24:57) Applying Cosmic Understanding

    The SAGA Survey and its implications for understanding the Milky Way in a broader cosmic context.

    (00:29:29) Conclusion

    Connect With Us:

    Episode Transcripts >>> The Future of Everything Website

    Connect with Russ >>> Threads / Bluesky / Mastodon

    Connect with School of Engineering >>>Twitter/X / Instagram / LinkedIn / Facebook


    Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.


    The future of robotics May 17, 2024
    Show notes

    Guest Jeannette Bohg is an expert in robotics who says there is a transformation happening in her field brought on by recent advances in large language models. The LLMs have a certain common sense baked in and robots are using it to plan and to reason as never before. But they still lack low-level sensorimotor control — like the fine skill it takes to turn a doorknob. New models that do for robotic control what LLMs did for language could soon make such skills a reality, Bohg tells host Russ Altman on this episode of Stanford Engineering’s The Future of Everything podcast.

    Episode Reference Links:

    • Jeannette Bogh: Website
    • Stanford Profile: Website
    • Jeannette's Lab: Website
    • Robotics startup Jeannette discusses: Diligent Robotics

    Connect With Us:

    • Episode Transcripts >>> The Future of Everything Website
    • Connect with Russ >>> Threads / Bluesky / Mastodon
    • Connect with School of Engineering >>> Twitter/X / Instagram / LinkedIn / Facebook

    Chapters:

    (00:00:00) Introduction

    Russ introduces guest Professor Jeannette Bohg, an expert in robotics from Stanford University.

    (00:01:58) AI's Impact on Robotics

    How AI is transforming robotics and the use of AI in high-level planning and reasoning in robotics.

    (00:04:26) Challenges of Applying Language Models in Robotics

    The challenges and potential of using large language models for robotic task planning and interaction between humans and robots.

    (00:07:06) Data Shortages in Robotics

    The scarcity of training data in robotics compared to other AI fields and its impact on development.

    (00:10:43) Human-Robot Interaction and Augmentation

    The potential for robots to augment human capabilities rather than replace them and different approaches to autonomy in robotics.

    (00:16:41) The Future of Robotic Hardware

    The current state of robotic hardware, its limitations, and what the future might hold for robotic development.

    (00:19:53) The Financial and Practical Realities of Robotic Research

    Cost and maintenance challenges associated with robotic research platforms, as well as practical applications of robotics in everyday life.

    (00:25:11) Humanoid Robots vs. Practical Robots

    The practicality and implications of designing robots that mimic human appearance and capabilities.

    (00:27:55) Future Outlook and Commercial Viability

    The future outlook for robotic platforms and when they might become commercially available.

    (00:29:08) Conclusion

    Connect With Us:

    Episode Transcripts >>> The Future of Everything Website

    Connect with Russ >>> Threads / Bluesky / Mastodon

    Connect with School of Engineering >>>Twitter/X / Instagram / LinkedIn / Facebook


    Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.


    The future of brain science May 10, 2024
    Show notes

    Guest Sergiu Pasca is a physician-scientist who turns skin cells into stem cells and then into brain tissues he calls “organoids” and “assembloids” in order to study psychiatric and neurological illness in a dish instead of in living human beings. With this knowledge, Pasca hopes to develop new treatments for conditions ranging from schizophrenia and autism spectrum disorders to chronic pain, he tells host Russ Altman in this episode of Stanford Engineering’s The Future of Everything podcast.

    Episode Reference Links:

    • Sergiu’s Lab: Pasca Lab
    • Sergiu’s Stanford Profile: Website
    • Center at Stanford Sergiu Leads: Stanford Brain Organogenesis
    • Sergiu’s recently published paper: Antisense Oligonucleotide Therapeutic Approach for Timothy Syndrome
    • Paper by Shinya Yamanaka Sergiu discusses: Induction of Pluripotent Stem Cells from Mouse Embryonic and Adult Fibroblast Cultures

    Connect With Us:

    • Episode Transcripts >>> The Future of Everything Website
    • Connect with Russ >>> Threads / Bluesky / Mastodon
    • Connect with School of Engineering >>> Twitter/X / Instagram / LinkedIn / Facebook

    Chapters:

    (00:00:00) Introduction

    Russ introduces guest, Sergiu Pasca, professor of Psychiatry and Behavioral Sciences at Stanford University.

    (00:02:43) The Science of Growing Brain Tissue from Skin Cells

    The process of developing brain organoids from skin cells and the potential medical applications of these models.

    (00:03:59) Enhancing Neurological Research Tools

    Advancing the complexity of brain models to include various brain structures and their applications in modeling diseases.

    (00:07:20) Introduction of Assembloids

    Introduction to assembloids, detailing how combining different organoids can mimic complex brain structures

    (0015:58) Testing Therapeutics Using Humanized Models

    The innovative approach of using humanized rat models to test neurological therapies and drugs.

    (00:21:03) Complex Circuit Modelling for Disease Understanding

    The current capabilities of modeling complex brain circuits and their relevance in understanding the neural pathways involved in diseases.

    (00:23:36) The Future of Pain Modelling and Drug Testing

    How assembled brain cells can model pain perception and response, leading to potential new treatments for chronic pain and psychiatric disorders

    (00:27:46) Ethical Considerations and Public Engagement

    Ethical concerns related to creating brain-like tissues and the importance of public engagement in scientific research.

    (00:32:01) Future Directions and Global Collaboration

    The future of brain organogenesis research and the potential impacts on treating neurological and psychiatric conditions.

    (00:34:05) Conclusion

    Connect With Us:

    Episode Transcripts >>> The Future of Everything Website

    Connect with Russ >>> Threads / Bluesky / Mastodon

    Connect with School of Engineering >>>Twitter/X / Instagram / LinkedIn / Facebook


    Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.


    The future of cybersecurity May 03, 2024
    Show notes

    With TikTok in the hands of 170 million Americans, cybersecurity expert Amy Zegart says it’s time to talk about consequences. Foreign access to all that data on so many Americans is a national security threat, she asserts. For those as concerned as she, Zegart has good news and bad. The government has gotten better at fighting cyberthreats, but artificial intelligence is making things very complicated, very fast. The US needs to adapt quickly to keep pace, Zegart tells host Russ Altman on this episode of Stanford Engineering’s The Future of Everything podcast.

    Episode Reference Links:

    • Amy Zegart's Stanford Profile
    • Hoover Institution Profile: Website
    • Ep.20 How Vulnerable Are We to Cyber Attacks? (Amy’s previous episode on The Future of Everything)

    Connect With Us:

    • Episode Transcripts >>> The Future of Everything Website
    • Connect with Russ >>> Threads / Bluesky / Mastodon
    • Connect with School of Engineering >>> Twitter/X / Instagram / LinkedIn / Facebook

    Chapters:

    (00:00:00) Introduction

    Host Russ Altman introduces guest Amy Zegart, a cybersecurity expert from Stanford University.

    (00:02:37) Government and Cybersecurity Speeds

    How AI has changed the pace at which both government and cyber attackers operate, and the evolving dynamics of cybersecurity efforts.

    (00:04:12) Corporate Cybersecurity

    The unexpected role of the SEC in regulating corporate cybersecurity efforts and how the cyber attack surface has expanded beyond traditional big industries

    (00:07:30) Global Cyber Threats and Preparedness

    Insights into the strategic use of cyber operations by other countries, and the multifaceted nature of international cyber relations.

    (00:09:13) Cyber Dynamics in the Russia-Ukraine Conflict

    The cyber aspects of the Russia-Ukraine conflict and its implications for global cybersecurity strategies.

    (00:11:35) Misinformation and Disinformation Dynamics

    The difference between misinformation and disinformation, their impacts on society and the challenges in combating them.

    (00:15:04) TikTok and National Security

    Risks associated with TikTok as a platform controlled by Chinese interests, discussing data privacy and potential for foreign influence.

    (00:20:11) Corporate Power in AI and National Security

    The role of corporations in national security through their control over AI, and the challenges this poses for regulation and innovation.

    (00:22:47) Learning from Cybersecurity to Manage AI Risks

    Lessons from cybersecurity that could help manage emerging AI risks, highlighting the need for developing independent AI research capacities.

    (00:26:44) European Regulation and Global AI Safety

    The European approach to AI regulation and data protection, advocating for international AI safety norms and collaborative efforts.

    (00:29:21) AI's Role in Enhancing Intelligence

    How AI can transform intelligence services, and advancements that could lead to significant efficiency gains in national security.

    (00:31:23) Conclusion

    Connect With Us:

    Episode Transcripts >>> The Future of Everything Website

    Connect with Russ >>> Threads / Bluesky / Mastodon

    Connect with School of Engineering >>>Twitter/X / Instagram / LinkedIn / Facebook


    Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.


    Best of: Regenerating and rejuvenating human tissues Apr 26, 2024
    Show notes

    A best of episode where Russ interviews one of his bioengineering colleagues, Fan Yang, about some of the fascinating work she’s doing in the realm of tissue engineering. Hear more about the ways her lab is modeling human tissue to help develop a better understanding of how we might effectively replace damaged tissues and alleviate a number of health concerns.

    Episode Reference Links:

    • Fan Yang's Stanford Profile: Website
    • Fan Yang’s Stanford Lab: Website
    • Ep.174 Regenerating and Rejuvenating Human Tissues: Website / YouTube (original episode)

    Connect With Us:

    • Episode Transcripts >>> The Future of Everything Website
    • Connect with Russ >>> Threads / Bluesky / Mastodon
    • Connect with School of Engineering >>> Twitter/X / Instagram / LinkedIn / Facebook

    Chapters:

    (00:00:00) Introduction

    Host Russ Altman introduces guest Fan Yang, a bioengineer at Stanford.

    (00:03:15) The Basics of Tissue Engineering

    The purpose and significance of tissue engineering, emphasizing its role in addressing critical medical needs like late-stage arthritis.

    (00:04:23) Challenges in Tissue Engineering

    Technical hurdles in creating viable tissues for clinical use, such as integrating these tissues into the human body.

    (00:07:00) 3D Printing and In Situ Polymerization

    Technological advances in shaping tissues using 3D printing and the benefits of in situ polymerization to adapt to complex tissue shapes.

    (00:09:15) Specific Challenges with Cartilage

    The challenges specific to cartilage regeneration, explaining why it has been a difficult tissue to replicate and heal.

    (00:13:56) Micro Ribbon Based Hydrogels

    Explanation of micro ribbon based hydrogels, a new development aimed at improving tissue regeneration.

    (00:19:16) Cancer Research and Tissue Engineering

    How tissue engineering technologies are not only pivotal for therapeutic uses but also crucial for understanding diseases and aiding drug discovery.

    (00:24:38) Regulatory Challenges and Commercialization

    The regulatory and commercialization challenges facing new medical technologies, including the need for industry partnerships and the role of the FDA

    (00:26:20) Conclusion

    Connect With Us:

    Episode Transcripts >>> The Future of Everything Website

    Connect with Russ >>> Threads / Bluesky / Mastodon

    Connect with School of Engineering >>>Twitter/X / Instagram / LinkedIn / Facebook


    Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.


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