{"id":292,"date":"2024-04-14T08:38:51","date_gmt":"2024-04-14T08:38:51","guid":{"rendered":"https:\/\/presidentreport.biu.ac.il\/?p=292"},"modified":"2024-05-23T16:32:18","modified_gmt":"2024-05-23T16:32:18","slug":"data-driven-solutions","status":"publish","type":"post","link":"https:\/\/presidentreport.biu.ac.il\/index.php\/2024\/04\/14\/data-driven-solutions\/","title":{"rendered":"Data-Driven Solutions"},"content":{"rendered":"\n
\n
\n
\n
\n <\/div>\n <\/div>\n <\/div>\n
\n
\n
\n \n
\n
\n
The Data Science Institute<\/h5>\n <\/div>\n<\/div>\n\n
\n
\n

Data-Driven Solutions<\/strong><\/h3>\n <\/div>\n<\/div>\n\n
\n
\n
From finding the last million Holocaust victims to finding the right cancer drug, Bar-Ilan\u2019s world leaders in data science are using AI to ensure a stronger and healthier future\u2014and to preserve our past, as well.<\/h6>\n <\/div>\n<\/div>\n <\/div>\n <\/div>\n <\/div>\n
\n
\n
\n \n
\n

The Missing Million<\/h3>
\n

Calling \u201cevery new name we can add to our database a victory\u201d against the Nazis\u2019 attempt to wipe out the Jewish people, Dr. Alexander Avram, director of Yad Vashem\u2019s Hall of Names, once explained the reason for the museum\u2019s tireless efforts to identify all six million Holocaust victims. Since it began the project in 1954, it has managed to identify five million; now, Bar-Ilan data scientist and Director of the Data Science Institute Prof. Onn Shehory believes he can help find part of the missing million before the last survivors die out.<\/p>\n

\u00a0<\/p>\n

\u201cToday, to verify the unique identity of each victim, people have to manually link evidence from one digitized document to the next,\u201d explains Shehory. By instead applying AI software to the millions of documents in the archives, he hopes to speed up recognition dramatically. \u201cIf we can automate the search and the linkage processes, the system can identify connections in moments that might take a person months or years. That is, if he manages to happen upon the connection at all.\u201d<\/p> <\/div>\n<\/div>\n <\/div>\n

\n \n
\n
\n

In addition to finding the last million victims, Shehory also wants to help Yad Vashem tell the world who these people were. Explaining that although the memorial wants to provide the public with access to its archives, its databases aren\u2019t compatible with external search engines, Shehory expresses confidence that his AI system can reclassify Yad Vashem\u2019s documents according to key words, concepts, and themes that Google and other engines can understand.<\/p>\n

\u00a0<\/p>\n

\u201cIf I can help save even a few hundred thousand Jews from disappearing forever from history,\u201d concludes Shehory, \u201cI believe it will have been the best possible use of tomorrow\u2019s technology.\u201d<\/p> <\/div>\n<\/div>\n\n

\n
\n \"Director \n <\/div>\n \n \n
\n
\n Director of the Data Science Institute Prof. Onn Shehory The School of Business Administration <\/div>\n \n <\/div>\n \n <\/div>\n <\/div>\n <\/div>\n <\/div>\n
\n
\n
\n \n
\n
\n
Data-Driven Bridges to Industry: The Interdisciplinary Conference on Networks and NLP<\/h6>\n

In September, Bar-Ilan\u2019s Data Science Institute hosted academic experts and leading players in industry for an Interdisciplinary Conference on Natural Language Processing (NLP) and Network Science, two fields in which Bar-Ilan is an internationally recognized leader. Indeed, in the field of NLP\u2014led by researchers Profs. Ido Dagan, Yoav Goldberg, and Reut Tsarfaty, and currently home to more than 40 research students\u2014Bar-Ilan is ranked third in Europe on account of its breakthroughs in understanding, summarizing, merging, and now even drawing inferences from English, Hebrew, and Yiddish texts. The University\u2019s network-science research is led by Israel Prize laureate Prof. (emeritus) Shlomo Havlin, a pioneer in the development of network science and one of the two most-cited Israeli scientists.<\/p>\n

\u00a0<\/p>\n

Along with showcasing academic innovations in these two cutting-edge fields, the conference allowed companies to explain what they need from tomorrow\u2019s NLP and networks professionals. Sponsored in part by Oracle, the world\u2019s third-largest software company, the event\u2019s keynote speakers included Dr. Dipanjan Das, the director of Research Google Deepmind, Prof. Stefano Boccaletti, the senior researcher at the National Research Council\u2019s Institute for Complex Systems in Florence, Italy, and Prof. Cristian Danescu-Niculescu-Mizil of Cornell University.<\/p> <\/div>\n<\/div>\n

\n
\n \n
\n
\n \"Dr. \n <\/div>\n \n \n
\n
\n Dr. Dipanjan Das, director of Research Google Deepmind <\/div>\n \n <\/div>\n \n <\/div>\n <\/div>\n
\n \n
\n
\n \"Prof. \n <\/div>\n \n \n
\n
\n Prof. Cristian Danescu-Niculescu-Mizil, Cornell University <\/div>\n \n <\/div>\n \n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n
\n
\n
\n \n
\n

Power to the People: Network Science and the Electric Company<\/h3>
\n

To ensure that extreme weather incidents or terrorist attacks on infrastructure don\u2019t leave Israeli citizens and institutions without electricity, Bar-Ilan network scientists led by Profs. Baruch Barzel and Reuven Cohen are working with the Israel Electric Company to determine how to add redundant transmission lines to electric grids in the most efficient and cost-effective way.<\/p> <\/div>\n<\/div>\n <\/div>\n

\n \n
\n

Killing Machines: Using Machine Learning to Treat Malignant Tumors<\/h3>
\n

By applying his machine-learning technology to hundreds of thousands of cancerous-tumor images, and then matching the tumor trajectory to available drug combinations, bioinformatics researcher Prof. Sol Efroni is helping clinicians determine, at the earliest possible stage, which treatments are most likely to be effective in killing the cancer cells.<\/p> <\/div>\n<\/div>\n <\/div>\n

\n \n
\n

Critical Response: Applying AI to First-Line Stroke Treatments<\/h3>
\n

When it comes to reversing the effects of a stroke that have damaged parts of the brain, the first 24 hours after the event are critical to recovery. To that end, Data Science Institute Director Prof. Onn Shehory applied AI software to the 70 most common first-line treatments provided by hospitals for managing blood pressure after stroke, the key to preventing long-term disability. The results\u2014culled from vast patient data that no one doctor could ever acquire\u2014can help clinicians determine which treatments will prove most effective at restoring functionality.<\/p> <\/div>\n<\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n\n\n

<\/a>\"image_print\"Print<\/span><\/a><\/div>","protected":false},"excerpt":{"rendered":"

The Data Science Institute Data-Driven Solutions From finding the last million Holocaust victims to finding the right cancer drug, Bar-Ilan\u2019s world leaders in data science are using AI to ensure a stronger and healthier future\u2014and to preserve our past, as well. The Missing Million Calling \u201cevery new name we can add to our database a […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[5],"tags":[],"class_list":["post-292","post","type-post","status-publish","format-standard","hentry","category-research-innovation","has-post-title","has-post-date","has-post-category","has-post-tag","has-post-comment","has-post-author",""],"builder_content":"

The Data Science Institute<\/h5>\n

Data-Driven Solutions<\/strong><\/h3>\n
From finding the last million Holocaust victims to finding the right cancer drug, Bar-Ilan\u2019s world leaders in data science are using AI to ensure a stronger and healthier future\u2014and to preserve our past, as well.<\/h6>\n

The Missing Million<\/h3>

Calling \u201cevery new name we can add to our database a victory\u201d against the Nazis\u2019 attempt to wipe out the Jewish people, Dr. Alexander Avram, director of Yad Vashem\u2019s Hall of Names, once explained the reason for the museum\u2019s tireless efforts to identify all six million Holocaust victims. Since it began the project in 1954, it has managed to identify five million; now, Bar-Ilan data scientist and Director of the Data Science Institute Prof. Onn Shehory believes he can help find part of the missing million before the last survivors die out.<\/p>

\u00a0<\/p>

\u201cToday, to verify the unique identity of each victim, people have to manually link evidence from one digitized document to the next,\u201d explains Shehory. By instead applying AI software to the millions of documents in the archives, he hopes to speed up recognition dramatically. \u201cIf we can automate the search and the linkage processes, the system can identify connections in moments that might take a person months or years. That is, if he manages to happen upon the connection at all.\u201d<\/p>\n

In addition to finding the last million victims, Shehory also wants to help Yad Vashem tell the world who these people were. Explaining that although the memorial wants to provide the public with access to its archives, its databases aren\u2019t compatible with external search engines, Shehory expresses confidence that his AI system can reclassify Yad Vashem\u2019s documents according to key words, concepts, and themes that Google and other engines can understand.<\/p>

\u00a0<\/p>

\u201cIf I can help save even a few hundred thousand Jews from disappearing forever from history,\u201d concludes Shehory, \u201cI believe it will have been the best possible use of tomorrow\u2019s technology.\u201d<\/p>\n\"Director Director of the Data Science Institute Prof. Onn Shehory The School of Business Administration\n

Data-Driven Bridges to Industry: The Interdisciplinary Conference on Networks and NLP<\/h6>

In September, Bar-Ilan\u2019s Data Science Institute hosted academic experts and leading players in industry for an Interdisciplinary Conference on Natural Language Processing (NLP) and Network Science, two fields in which Bar-Ilan is an internationally recognized leader. Indeed, in the field of NLP\u2014led by researchers Profs. Ido Dagan, Yoav Goldberg, and Reut Tsarfaty, and currently home to more than 40 research students\u2014Bar-Ilan is ranked third in Europe on account of its breakthroughs in understanding, summarizing, merging, and now even drawing inferences from English, Hebrew, and Yiddish texts. The University\u2019s network-science research is led by Israel Prize laureate Prof. (emeritus) Shlomo Havlin, a pioneer in the development of network science and one of the two most-cited Israeli scientists.<\/p>

\u00a0<\/p>

Along with showcasing academic innovations in these two cutting-edge fields, the conference allowed companies to explain what they need from tomorrow\u2019s NLP and networks professionals. Sponsored in part by Oracle, the world\u2019s third-largest software company, the event\u2019s keynote speakers included Dr. Dipanjan Das, the director of Research Google Deepmind, Prof. Stefano Boccaletti, the senior researcher at the National Research Council\u2019s Institute for Complex Systems in Florence, Italy, and Prof. Cristian Danescu-Niculescu-Mizil of Cornell University.<\/p>\n\"Dr. Dr. Dipanjan Das, director of Research Google Deepmind\n\"Prof. Prof. Cristian Danescu-Niculescu-Mizil, Cornell University\n

Power to the People: Network Science and the Electric Company<\/h3>

To ensure that extreme weather incidents or terrorist attacks on infrastructure don\u2019t leave Israeli citizens and institutions without electricity, Bar-Ilan network scientists led by Profs. Baruch Barzel and Reuven Cohen are working with the Israel Electric Company to determine how to add redundant transmission lines to electric grids in the most efficient and cost-effective way.<\/p>\n

Killing Machines: Using Machine Learning to Treat Malignant Tumors<\/h3>

By applying his machine-learning technology to hundreds of thousands of cancerous-tumor images, and then matching the tumor trajectory to available drug combinations, bioinformatics researcher Prof. Sol Efroni is helping clinicians determine, at the earliest possible stage, which treatments are most likely to be effective in killing the cancer cells.<\/p>\n

Critical Response: Applying AI to First-Line Stroke Treatments<\/h3>

When it comes to reversing the effects of a stroke that have damaged parts of the brain, the first 24 hours after the event are critical to recovery. To that end, Data Science Institute Director Prof. Onn Shehory applied AI software to the 70 most common first-line treatments provided by hospitals for managing blood pressure after stroke, the key to preventing long-term disability. The results\u2014culled from vast patient data that no one doctor could ever acquire\u2014can help clinicians determine which treatments will prove most effective at restoring functionality.<\/p>","_links":{"self":[{"href":"https:\/\/presidentreport.biu.ac.il\/index.php\/wp-json\/wp\/v2\/posts\/292","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/presidentreport.biu.ac.il\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/presidentreport.biu.ac.il\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/presidentreport.biu.ac.il\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/presidentreport.biu.ac.il\/index.php\/wp-json\/wp\/v2\/comments?post=292"}],"version-history":[{"count":42,"href":"https:\/\/presidentreport.biu.ac.il\/index.php\/wp-json\/wp\/v2\/posts\/292\/revisions"}],"predecessor-version":[{"id":2972,"href":"https:\/\/presidentreport.biu.ac.il\/index.php\/wp-json\/wp\/v2\/posts\/292\/revisions\/2972"}],"wp:attachment":[{"href":"https:\/\/presidentreport.biu.ac.il\/index.php\/wp-json\/wp\/v2\/media?parent=292"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/presidentreport.biu.ac.il\/index.php\/wp-json\/wp\/v2\/categories?post=292"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/presidentreport.biu.ac.il\/index.php\/wp-json\/wp\/v2\/tags?post=292"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}