Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Noam Mamet"'
Autor:
Neria Reiss, Avichai Shimoni, Adva Zamir, Gil Harari, Gil Loewenthal, Elinor Debby, Anastasia Paz, Yaniv Amir, Erez Lavi, Almogit Abu-Horowitz, Irit Avivi, Liron Bassali, Nir Skalka, Itai Rusinek, Noam Mamet, Guy Neev, Ido Bachelet, Mor Greenberg
Publikováno v:
Communications Biology, Vol 3, Iss 1, Pp 1-9 (2020)
Communications Biology
Communications Biology
Drug discovery is challenged by ineffectiveness of drugs against variable and evolving diseases, and adverse effects due to poor selectivity. We describe a robust platform which potentially addresses these limitations. The platform enables rapid disc
Autor:
Noam Mamet, Itai Rusinek, Gil Harari, Zvi Shapira, Yaniv Amir, Erez Lavi, Adva Zamir, Noam Borovsky, Noah Joseph, Maria Motin, Dekel Saban, Ido Bachelet
We describe a technique for the rapid de-novo discovery of target-tailored tumoricidal DNA aptamers inside an Illumina sequencing chip. By sequencing oligonucleotide pools we generate a physical microfluidic map of hundreds of millions of potential a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::855e95771d7c255088004fd8096b6bfb
https://doi.org/10.1101/630830
https://doi.org/10.1101/630830
Autor:
Noam Mamet, Avichai Shimoni, Elinor Debby, Almogit Abu-Horowitz, Mor Greenberg, Ido Bachelet, Anastasia Paz, Itai Rusinek, Gil Harari, Yaniv Amir, Nir Skalka, Gil Loewenthal, Guy Neev, Neria Reiss, Adva Zamir, Liron Bassali, Irit Avivi, Erez Lavi
Our current model of drug discovery is challenged by the relative ineffectiveness of drugs against highly variable and rapidly evolving diseases and their relatively high incidence of adverse effects due to poor selectivity. Here we describe a robust
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b5d0ae9a77d9b5b1e339fa1a02977a3
https://doi.org/10.1101/629105
https://doi.org/10.1101/629105
Publikováno v:
Computational biology and chemistry. 83
The Monty Hall problem is a decision problem with an answer that is surprisingly counter-intuitive yet provably correct. Here we simulate and prove this decision in a high-throughput DNA sequencing machine, using a simple encoding. All possible scena
The Monty Hall problem is a decision problem with an answer that is surprisingly counter-intuitive yet provably correct. Here we simulate and prove this decision in a high- throughput DNA sequencing machine, using a simple encoding. All possible scen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cc968cfa8ff0ae5e81d037f6b757ed57
Autor:
Mamet, Noam1,2, Amir, Yaniv3 yaniv@aummune.tech, Lavi, Erez3, Bassali, Liron1, Harari, Gil1, Rusinek, Itai1, Skalka, Nir3, Debby, Elinor3, Greenberg, Mor1, Zamir, Adva1, Paz, Anastasia3, Reiss, Neria3, Loewenthal, Gil1, Avivi, Irit4, Shimoni, Avichai5, Neev, Guy3, Abu-Horowitz, Almogit1, Bachelet, Ido1 ido@augm.com
Publikováno v:
Communications Biology. 1/15/2020, Vol. 3 Issue 1, p1-9. 9p.
Autor:
Noam Mamet, Ido Bachelet
Publikováno v:
Wireless Computing in Medicine: From Nano to Cloud with Ethical and Legal Implications
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9b22caeb72c6ad6afb7118f72fb95bec
https://doi.org/10.1002/9781118993620.ch12
https://doi.org/10.1002/9781118993620.ch12
Autor:
Almogit Abu-Horowitz, Tal Barkai, Noam Mamet, Guy Hachmon, Ido Bachelet, Sasson Sapir, Nomi Hadar
Publikováno v:
Artificial life. 22(1)
New types of robots inspired by biological principles of assembly, locomotion, and behavior have been recently described. In this work we explored the concept of robots that are based on more fundamental physical phenomena, such as fluid dynamics, an
Autor:
Hachmon, Guy1, Mamet, Noam1,2, Sasson, Sapir1, Barkai, Tal1, Hadar, Nomi1, Abu-Horowitz, Almogit1,2, Bachelet, Ido1,2 dogbach@gmail.com
Publikováno v:
Artificial Life. Winter2016, Vol. 22 Issue 1, p1-22. 22p.
Provides a comprehensive overview of wireless computing in medicine, with technological, medical, and legal advances This book brings together the latest work of leading scientists in the disciplines of Computing, Medicine, and Law, in the field of W