Lifeboat Foundation

Worm-Derived Therapeutics For Debilitating Diseases — Dr. Andrea Choe, MD, Ph.D. — CEO, Holoclara Inc

Dr. Andrea Choe, MD, Ph.D. is the CEO and Co-Founder of Holoclara (https://www.holoclara.com/), a company focused on creating novel, safe, orally bioavailable worm-derived therapeutics with a focus on indications such as allergies and autoimmune disorders.

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The behavior of the cells that make up our blood vessels is crucial to our well-being. Conditions such as inflammation, oxygen deprivation and viral infection can stress these cells and disrupt the formation of new, often pathological, blood vessels. Now a team of researchers led by Jean-Philippe Gratton, chair of the Department of Pharmacology and Physiology at Université de Montréal and a specialist in vascular biology, has discovered a previously unknown pathway leading to the formation of new blood vessels, a process known as angiogenesis.

Furthermore, many experimental factors, such as fabrication errors and physical misalignments, can affect the performance of diffractive processors during the experimental deployment stage. Investigating the inherent robustness of different nonlinear encoding strategies to such imperfections, as well as their integration with vaccination-based training strategies³⁹ or in situ training methods⁴⁰, would provide more comprehensive guidance on the implementation and limitations of these approaches. These considerations would be crucial for future research and practical implementations of diffractive optical processors.

Throughout the manuscript, our analyses assumed that diffractive optical processors consist of several stacked diffractive layers interconnected through free-space light propagation, as commonly used in the literature^10,13,41,42. Our forward model employs the angular spectrum method for light propagation, a broadly applicable technique known for its accuracy, covering all the propagating modes in free space. While our forward model does not account for multiple reflections between the diffractive layers, it is important to note that such cascaded reflections are much weaker than the transmitted light and, thus, have a negligible impact on the optimization process. This simplification does not compromise the model’s experimental validity since a given diffractive model also acts as a 3D filter for such undesired secondary sources that were ignored in the optimization process; stated differently, a by-product of the entire optimization process is that the resulting diffractive layers collectively filter out some of these undesired sources of secondary reflections, scattering them outside the output FOV. The foundation of our model has been extensively validated through various experiments^{10,11,16,18,43}, providing a good match to the corresponding numerical model in each case, further supporting the accuracy of our forward model and diffractive processor design scheme.

Finally, our numerical analyses were conducted using coherent monochromatic light, which has many practical, real-world applications such as holographic microscopy and sensing, laser-based imaging systems, optical communications, and biomedical imaging. These applications, and many others, benefit from the precise control of the wave information carried by coherent light. In addition to coherent illumination, diffractive optical processors can also be designed to accommodate temporally and spatially incoherent illumination. By optimizing the layers for multiple wavelengths of illumination, a diffractive processor can be effectively designed to operate under broadband illumination conditions^{18,19,29,43,44,45,46,47}. Similarly, by incorporating spatial incoherence into the forward model simulations, we can design diffractive processors that function effectively with spatially incoherent illumination^30,48. Without loss of generality, our current study focuses on coherent monochromatic light to establish a foundational understanding of nonlinear encoding strategies in diffractive information processing using linear optical materials by leveraging the precise control that coherent processors offer. Future work could explore the extension of these principles to spatially or temporally incoherent illumination scenarios, further broadening the applicability of diffractive optical processors in practical settings.

A brain-computer interface from the startup Inbrain could be used to treat Parkinson’s disease.

Recently, human brain organoids have raised increasing interest from scholars of many fields and a dynamic discussion in bioethics is ongoing. There is a serious concern that these in vitro models of brain development based on innovative methods for three-dimensional stem cell culture might deserve a specific moral status [1, 2]. This would especially be the case if these small stem cell constructs were to develop physiological features of organisms endowed with nervous systems, suggesting that they may be able to feel pain or develop some form of sentience or consciousness. Whether one wants to envision or discard the possibility of conscious brain organoids and whether one wants to acknowledge or dispute its moral relevance, the notion of consciousness is a main pillar of this discussion (even if not the only issue involved [3]). However, consciousness is itself a difficult notion, its nature and definition having been discussed for decades [4, 5]. As a consequence, the ethical debate surrounding brain organoids is deeply entangled with epistemological uncertainty pertaining to the conceptual underpinnings of the science of consciousness and its empirical endeavor.

It has been argued that neuroethics should circumvent this fundamental uncertainty by adhering to a precautionary principle [6]. Even if we do not know with certainty at which point brain organoids could become conscious, following some experimental design principles would ensure that the research does not raise any ethically problematic features in the years to come. It has also been proposed to redirect the inquiry to the “what-kind” issue (rather than the “whether or not” issue) in order to rely on more graspable features for ethical assessment [7]. These strategies, however, make the epistemological issue even more relevant. The question of whether or not current and future organoids can develop a certain form of consciousness (without presupposing what these different forms of consciousness might be) and how to assess this potentiality in existing biological systems is bound to stay with the field of brain organoid technology for a certain time. Even if it is not for advancing ethical issues, there is a theoretical interest in determining the boundary conditions of consciousness and its potential emergence in artificial entities. Although the methodological and knowledge gap is still wide between the research community on cellular biology and stem cell culture on the one side and the research community on consciousness such as cognitive neuroscience on the other, there will be more and more circulation of ideas and methods in the coming years. The results of this scientific endeavor will, in turn, impact ethics.

In this article, I look back at the history of consciousness research to find new perspectives on this contemporary epistemological conundrum. In particular, I suggest the distinction between “global” theories of consciousness and “local” theories of consciousness as a thought-provoking one for those engaged in the difficult task of adapting models of consciousness to the biological reality of brain organoids. The first section introduces the consciousness assessment issue as a general framework and a challenge for any discussion related to the putative consciousness of brain organoids. In the second section, I describe and critically assess the main attempt, so far, at solving the consciousness assessment issue relying on integrated information theory. In the third section, I propose to rely on the distinction between local and global theories of consciousness as a tool to navigate the theoretical landscape, before turning to the analysis of a notable local theory of consciousness, Semir Zeki’s theory of microconsciousness, in the fourth section. I conclude by drawing the epistemological and ethical lessons from this theoretical exploration.

People who struggle with facial recognition can find forming relationships a challenge, leading to mental health issues and social anxiety. A new study provides insights into prosopagnosia or face blindness, a condition that impairs facial recognition and affects approximately 1 in 50 people.

The researchers scanned the brains of more than 70 study participants as they watched footage from the popular TV series “Game of Thrones.” Half of the participants were familiar with the show’s famously complex lead characters and the other half had never seen the series.

When lead characters appeared on screen, MRI scans showed that in neurotypical participants who were familiar with the characters, brain activity increased in regions of the brain associated with non-visual knowledge about the characters, such as who they are and what we know about them.

As the world grapples with an aging population, the rise in neurodegenerative diseases such as Alzheimer’s and Parkinson’s is becoming a significant challenge. These conditions place a heavy burden not only on those afflicted but also on their families and society at large. Traditional treatments, including drug therapy and surgery, often come with side effects and high costs, and more critically, they fail to halt the progression of neuronal degeneration or prevent the death of neurons in patients.

New research has revealed that the lag observed in organic electrochemical transistors (OECTs) when switched on is due to a two-step activation process, providing crucial insights for designing more effective and customizable OECTs for various technological and biological applications.

Researchers who want to bridge the divide between biology and technology spend a lot of time thinking about translating between the two different “languages” of those realms.

“Our digital technology operates through a series of electronic on-off switches that control the flow of current and voltage,” said Rajiv Giridharagopal, a research scientist at the University of Washington. “But our bodies operate on chemistry. In our brains, neurons propagate signals electrochemically, by moving ions — charged atoms or molecules — not electrons.”

A naturally occurring sugar called 2-deoxy-D-ribose (2dDR) may boost hair growth.