Search

Your search keyword '"Kahn, Jeffrey"' showing total 1,746 results
Start Over Author "Kahn, Jeffrey"
1,746 results on '"Kahn, Jeffrey"'

2. 5. Recommendations

Author

Kahn, Jeffrey and Johns Hopkins Project on Ethics and Governance of Digital Contact Tracing Technologies

Published
2020

3. Preface

Author

Kahn, Jeffrey and Johns Hopkins Project on Ethics and Governance of Digital Contact Tracing Technologies

Published
2020

4. Introduction

Author

Kahn, Jeffrey and Johns Hopkins Project on Ethics and Governance of Digital Contact Tracing Technologies

Published
2020

6. Works Cited

Author

Kahn, Jeffrey and Johns Hopkins Project on Ethics and Governance of Digital Contact Tracing Technologies

Published
2020

7. 4. Legal Considerations

Author

Kahn, Jeffrey and Johns Hopkins Project on Ethics and Governance of Digital Contact Tracing Technologies

Published
2020

8. Resources

Author

Kahn, Jeffrey and Johns Hopkins Project on Ethics and Governance of Digital Contact Tracing Technologies

Published
2020

10. 1. Public Health Perspective

Author

Kahn, Jeffrey and Johns Hopkins Project on Ethics and Governance of Digital Contact Tracing Technologies

Published
2020

11. Summary

Author

Kahn, Jeffrey and Johns Hopkins Project on Ethics and Governance of Digital Contact Tracing Technologies

Published
2020

12. Acknowledgments

Author

Kahn, Jeffrey and Johns Hopkins Project on Ethics and Governance of Digital Contact Tracing Technologies

Published
2020

13. Acronyms and Abbreviations

Author

Kahn, Jeffrey and Johns Hopkins Project on Ethics and Governance of Digital Contact Tracing Technologies

Published
2020

14. Lead Authors and Contributors

Author

Kahn, Jeffrey and Johns Hopkins Project on Ethics and Governance of Digital Contact Tracing Technologies

Published
2020

15. Contents

Author

Kahn, Jeffrey and Johns Hopkins Project on Ethics and Governance of Digital Contact Tracing Technologies

Published
2020

16. Frontmatter

Author

Kahn, Jeffrey and Johns Hopkins Project on Ethics and Governance of Digital Contact Tracing Technologies

Published
2020

17. Governing with public engagement: an anticipatory approach to human genome editing.

Author

Barlevy, Dorit, Juengst, Eric, Kahn, Jeffrey, Moreno, Jonathan, Lambert, Lauren, Charo, Alta, Chneiweiss, Hervé, Farooque, Mahmud, Guston, David, Hyun, Insoo, Knoepfler, Paul, Selin, Cynthia, Wilbanks, Rebecca, Zaghlula, Manar, and Scott, Christopher

Subjects
anticipatory governance, human genome editing, public engagement
Abstract

In response to calls for public engagement on human genome editing (HGE), which intensified after the 2018 He Jiankui scandal that resulted in the implantation of genetically modified embryos, we detail an anticipatory approach to the governance of HGE. By soliciting multidisciplinary experts input on the drivers and uncertainties of HGE development, we developed a set of plausible future scenarios to ascertain publics values-specifically, their hopes and concerns regarding the novel technology and its applications. In turn, we gathered a subset of multidisciplinary experts to propose governance recommendations for HGE that incorporate identified publics values. These recommendations include: (1) continued participatory public engagement; (2) international harmonization and transparency of multiple governance levers such as professional and scientific societies, funders, and regulators; and (3) development of a formal whistleblower framework.

Published
2024

22. Cover

Author

Kahn, Jeffrey

Published
2013

26. II. Law

Author

Kahn, Jeffrey

Published
2013

28. Index

Author

Kahn, Jeffrey

Published
2013

29. I. Fact

Author

Kahn, Jeffrey

Published
2013

36. Notes

Author

Kahn, Jeffrey

Published
2013

40. First Organoid Intelligence (OI) workshop to form an OI community

Author

Pantoja, Itzy E Morales, Smirnova, Lena, Muotri, Alysson R, Wahlin, Karl J, Kahn, Jeffrey, Boyd, J Lomax, Gracias, David H, Harris, Timothy D, Cohen-Karni, Tzahi, Caffo, Brian S, Szalay, Alexander S, Han, Fang, Zack, Donald J, Etienne-Cummings, Ralph, Akwaboah, Akwasi, Romero, July Carolina, Din, Dowlette-Mary Alam El, Plotkin, Jesse D, Paulhamus, Barton L, Johnson, Erik C, Gilbert, Frederic, Curley, J Lowry, Cappiello, Ben, Schwamborn, Jens C, Hill, Eric J, Roach, Paul, Tornero, Daniel, Krall, Caroline, Parri, Rheinallt, Sillé, Fenna, Levchenko, Andre, Jabbour, Rabih E, Kagan, Brett J, Berlinicke, Cynthia A, Huang, Qi, Maertens, Alexandra, Herrmann, Kathrin, Tsaioun, Katya, Dastgheyb, Raha, Habela, Christa Whelan, Vogelstein, Joshua T, and Hartung, Thomas

Subjects
Information and Computing Sciences, Engineering, Biomedical Engineering, Neurosciences, Neurological, microphysiological systems, brain, electrophysiology, cognition, artificial intelligence, biological computing, Organoid Intelligence, Control engineering, mechatronics and robotics, Artificial intelligence, Machine learning
Abstract

The brain is arguably the most powerful computation system known. It is extremely efficient in processing large amounts of information and can discern signals from noise, adapt, and filter faulty information all while running on only 20 watts of power. The human brain's processing efficiency, progressive learning, and plasticity are unmatched by any computer system. Recent advances in stem cell technology have elevated the field of cell culture to higher levels of complexity, such as the development of three-dimensional (3D) brain organoids that recapitulate human brain functionality better than traditional monolayer cell systems. Organoid Intelligence (OI) aims to harness the innate biological capabilities of brain organoids for biocomputing and synthetic intelligence by interfacing them with computer technology. With the latest strides in stem cell technology, bioengineering, and machine learning, we can explore the ability of brain organoids to compute, and store given information (input), execute a task (output), and study how this affects the structural and functional connections in the organoids themselves. Furthermore, understanding how learning generates and changes patterns of connectivity in organoids can shed light on the early stages of cognition in the human brain. Investigating and understanding these concepts is an enormous, multidisciplinary endeavor that necessitates the engagement of both the scientific community and the public. Thus, on Feb 22-24 of 2022, the Johns Hopkins University held the first Organoid Intelligence Workshop to form an OI Community and to lay out the groundwork for the establishment of OI as a new scientific discipline. The potential of OI to revolutionize computing, neurological research, and drug development was discussed, along with a vision and roadmap for its development over the coming decade.

Published
2023

44. Summary of a consensus conference on heart-liver transplantation

Author

Kobashigawa, Jon, VanWagner, Lisa B., Hall, Shelley, Ardehali, Abbas, Baran, David, Bhimaraj, Arvind, Bonham, Clark Andrew, Breda, Joao Roberto, Chen, Sharon, Czer, Lawrence, Alessandro, David D', Daugherty, Tami, De Marco, Teresa, Emamaullee, Juliet, Emerson, Dominic, Entwistle, John W., Esmailian, Fardad, Estep, Jerry, Gaber, Osama, Ganger, Daniel, Gebel, Howard, Ebel, Noelle Hanako, Harmath, Carla, Heimbach, Julie, Izzy, Manhal, Jackson, Annette, Jeevanandam, Val, Kahn, Jeffrey, Kaldas, Fady, Kamath, Patrick, Kilic, Ahmet, Kittleson, Michelle, Kuo, Alex, Kushwaha, Sudhir, Kwong, Allison, Lewis, Matthew, Loebe, Matthias, Lui, George, Madsen, Joren, McLean, Rhondalyn, Menachem, Jonathan, Mobley, Constance, Mufti, Arji, Patel, Jignesh, Pereira, Naveen, Pinney, Sean, Potter, Lisa, Sack, Jordan, Sahota, Amandeep, Schiano, Thomas D., Schlendorf, Kelly, Shingina, Alexandra, Takeda, Koji, Taner, Timucin, Te, Helen, Teuteberg, Jeffrey, Tompkins, Rose, Verna, Betsy, Wall, Anji, Jeevanandam, Valluvan, Lui, George K., Motayagheni, Negar, Patel, Nikhil, and Sani, Maryam

Published
2024
Full Text
View/download PDF

49. Online Mobile App Usage as an Indicator of Sleep Behavior and Job Performance

Author

Park, Chunjong, Arian, Morelle, Liu, Xin, Sasson, Leon, Kahn, Jeffrey, Patel, Shwetak, Mariakakis, Alex, and Althoff, Tim

Subjects
Computer Science - Human-Computer Interaction, Computer Science - Computers and Society, Quantitative Biology - Neurons and Cognition
Abstract

Sleep is critical to human function, mediating factors like memory, mood, energy, and alertness; therefore, it is commonly conjectured that a good night's sleep is important for job performance. However, both real-world sleep behavior and job performance are hard to measure at scale. In this work, we show that people's everyday interactions with online mobile apps can reveal insights into their job performance in real-world contexts. We present an observational study in which we objectively tracked the sleep behavior and job performance of salespeople (N = 15) and athletes (N = 19) for 18 months, using a mattress sensor and online mobile app. We first demonstrate that cumulative sleep measures are correlated with job performance metrics, showing that an hour of daily sleep loss for a week was associated with a 9.0% and 9.5% reduction in performance of salespeople and athletes, respectively. We then examine the utility of online app interaction time as a passively collectible and scalable performance indicator. We show that app interaction time is correlated with the performance of the athletes, but not the salespeople. To support that our app-based performance indicator captures meaningful variation in psychomotor function and is robust against potential confounds, we conducted a second study to evaluate the relationship between sleep behavior and app interaction time in a cohort of 274 participants. Using a generalized additive model to control for per-participant random effects, we demonstrate that participants who lost one hour of daily sleep for a week exhibited 5.0% slower app interaction times. We also find that app interaction time exhibits meaningful chronobiologically consistent correlations with sleep history, time awake, and circadian rhythms. Our findings reveal an opportunity for online app developers to generate new insights regarding cognition and productivity.

Published
2021
Full Text
View/download PDF

50. ISSCR Guidelines for Stem Cell Research and Clinical Translation: The 2021 update.

Author

Lovell-Badge, Robin, Anthony, Eric, Barker, Roger A, Bubela, Tania, Brivanlou, Ali H, Carpenter, Melissa, Charo, R Alta, Clark, Amander, Clayton, Ellen, Cong, Yali, Daley, George Q, Fu, Jianping, Fujita, Misao, Greenfield, Andy, Goldman, Steve A, Hill, Lori, Hyun, Insoo, Isasi, Rosario, Kahn, Jeffrey, Kato, Kazuto, Kim, Jin-Soo, Kimmelman, Jonathan, Knoblich, Jürgen A, Mathews, Debra, Montserrat, Nuria, Mosher, Jack, Munsie, Megan, Nakauchi, Hiromitsu, Naldini, Luigi, Naughton, Gail, Niakan, Kathy, Ogbogu, Ubaka, Pedersen, Roger, Rivron, Nicolas, Rooke, Heather, Rossant, Janet, Round, Jeff, Saitou, Mitinori, Sipp, Douglas, Steffann, Julie, Sugarman, Jeremy, Surani, Azim, Takahashi, Jun, Tang, Fuchou, Turner, Leigh, Zettler, Patricia J, and Zhai, Xiaomei

Subjects
Biochemistry and Cell Biology, Clinical Sciences
Abstract

The International Society for Stem Cell Research has updated its Guidelines for Stem Cell Research and Clinical Translation in order to address advances in stem cell science and other relevant fields, together with the associated ethical, social, and policy issues that have arisen since the last update in 2016. While growing to encompass the evolving science, clinical applications of stem cells, and the increasingly complex implications of stem cell research for society, the basic principles underlying the Guidelines remain unchanged, and they will continue to serve as the standard for the field and as a resource for scientists, regulators, funders, physicians, and members of the public, including patients. A summary of the key updates and issues is presented here.

Published
2021

Catalog

Books, media, physical & digital resources
See catalog results