In this episode, Shlomi Madar of SpotitEarly talks with Professor Yossi Yovel, head of the neuroecology lab at Tel Aviv University, about bat echolocation and what decades of research reveal about animal communication, memory, and cognition. They also explore how AI is helping scientists decode non-human behavior, and why evolution favors trade-offs rather than optimal design.

Resources & Links:

SpotitEarly

SpotitEarly investment opportunity

The Genius Bat by Yossi Yovel

Yossi Yovel’s Bat Lab

Color Doolittle Prize

Book: The Selfish Gene by Richard Dawkins

Animal Cognition and Memory Research

Contact Prof. Yossi Yovel

Twitter

LinkedIn

Timestamp

00:00 - Introduction to the episode and guest, Professor Yossi Yovel

00:31 - Yossi’s interdisciplinary background and how he started studying bats

01:17 - The significance of echolocation and animal sensing abilities

01:41 - Insights from the database of 300,000 bat vocalizations

02:36 - Current capabilities and challenges in understanding animal communication with AI

03:58 - Differences between human language and animal signals

05:23 - The potential and limits of AI in interpreting animal emotions and moods

05:54 - The “Color Doolittle” prize for decoding animal communication

06:47 - Advances in animal sound databases and AI’s role

07:08 - The feasibility of conversing with animals in the near future

08:29 - Rethinking animal cognition based on recent findings about memory and planning

08:59 - The continuum of consciousness and cognition in animals

09:52 - Challenges in testing cognitive abilities in natural habitats

10:21 - Episodic memory and planning in bats, analogue to human cognition

11:45 - Tracking bats’ foraging behavior with GPS and their memory of fruit trees

12:42 - The diversity of bat species, their global distribution, and conservation status

16:24 - Building autonomous robots that navigate via echolocation

19:42 - Current state and future potential of sonar-based autonomous robots

21:20 - Comparing sonar with other sensors like vision and LiDAR

22:18 - What gives Yossi hope: passing science to the public and future innovations

22:58 - Common misconceptions about evolution and trade-offs in biology

24:41 - Influential books and ideas, including Richard Dawkins and animal behavior

26:09 - The future of biology and AI: bioengineering and models that mimic animal navigation

27:49 - How to follow Yossi’s work and resources, including “The Genius Bat”

Regulatory and IP Challenges of Animal-Based Diagnostics with Matthew Avery

Discover insights from Matthew Avery, a legal scholar and patent attorney, on the regulatory landscape and intellectual property considerations surrounding animal-based diagnostics, especially dogs used for disease detection. This episode explores the current challenges, innovative solutions, and future prospects in this emerging space.

Main topics:

The FDA's readiness and regulatory approach to animal-based diagnostics

The potential of AI and sensor technology to standardize dog-based disease detection

Patent strategies and intellectual property protections for trained animals and related technologies

Regulatory analogies to AI tools and ongoing challenges in the approval process

The impact of patent examination thoroughness on patent strength and valuation

Future outlook for health innovations and regulatory support

Timestamps:

(00:00) - Introduction to Matthew Avery and his expertise in biotech, FDA regulation, and IP

(02:05) - Avery's prediction about FDA's unpreparedness for disease-sniffing dogs

(06:30) - The 2020 research predicting regulatory gaps in animal diagnostics

(09:30) - COVID detection dogs and FDA’s cautious encouragement in 2020

(13:00) - Challenges of regulating animal-based versus platform diagnostics

(16:30) - Advances in AI and sensor technology to control variability in dog-based detection

(19:00) - Patentability of trained animals and related innovations

(22:54) - Insights from the Harvard study on patent quality and common misconceptions

(23:40) - Advice for biotech founders on patent strategy in the animal diagnostics space

(28:23) - How patent rejections relate to prior art and innovation environment

(30:30) - The surprising finding that more patent rejections may weaken patent strength

(31:05) - Optimism about human innovation and future health breakthroughs

(32:08) - Misconceptions about healthcare costs in the US

(34:12) - Recommended reading and influential books

(35:09) - Future of health technology and regulatory evolution

Resources & Links:

SpotitEarly

SpotitEarly investment opportunity

Matthew Avery - Baker Bots

Harvard Law School - The Myth of Bad Patents

Patent Strategies for Animal-Based Diagnostics

Connect with Matthew Avery

Stay tuned for more expert insights into health innovation on The Long Game.