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Repurpose Open Data to Discover Therapeutics for COVID-19 using Deep Learning [article]

Xiangxiang Zeng, Xiang Song, Tengfei Ma, Xiaoqin Pan, Yadi Zhou, Yuan Hou, Zheng Zhang, George Karypis, Feixiong Cheng
<span title="2020-05-21">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Drug repurposing offers a promising way for the development of prevention and treatment strategies for COVID-19.  ...  Specifically, we built a comprehensive knowledge graph that includes 15 million edges across 39 types of relationships connecting drugs, diseases, genes, pathways, and expressions, from a large scientific  ...  Conflict of interest: The content of this publication does not necessarily reflect the views of the Cleveland Clinic. The authors declare no competing interests.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2005.10831v1">arXiv:2005.10831v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/svsdyvlzkrdqjne7kbsawnpm5a">fatcat:svsdyvlzkrdqjne7kbsawnpm5a</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200528111137/https://arxiv.org/ftp/arxiv/papers/2005/2005.10831.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/73/53/735308049ea1c51c22af3228b8a7449844faf98a.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2005.10831v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Repurpose Open Data to Discover Therapeutics for COVID-19 using Deep Learning

Xiangxiang Zeng, Xiang Song, Tengfei Ma, Xiaoqin Pan, Yadi Zhou, Yuan Hou, Zheng Zhang, Kenli Li, George Karypis, Feixiong Cheng
<span title="2020-07-12">2020</span> <i title="American Chemical Society (ACS)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/tenxxlsc6veclcyjzdpgtxfjqu" style="color: black;">Journal of Proteome Research</a> </i> &nbsp;
Specifically, we built a comprehensive knowledge graph that includes 15 million edges across 39 types of relationships connecting drugs, diseases, proteins/genes, pathways, and expression, from a large  ...  While this study, by no means recommends specific drugs, it demonstrates a powerful deep learning methodology to prioritize existing drugs for further investigation, which holds the potential of accelerating  ...  Toremifene has been approved for the treatment of advanced breast cancer 47 and has also been studied in men with prostate cancer (∼1500 subjects) with reasonable tolerability. 48 Toremifene is 99%  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1021/acs.jproteome.0c00316">doi:10.1021/acs.jproteome.0c00316</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/32654489">pmid:32654489</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC7384389/">pmcid:PMC7384389</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/p3rd55bjg5b2pcsmj2zryqralm">fatcat:p3rd55bjg5b2pcsmj2zryqralm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200905054315/http://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC7384389&amp;blobtype=pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/a4/ce/a4ce5b42f3e41611b3977a58e667668efc53a627.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1021/acs.jproteome.0c00316"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acs.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7384389" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Data Mining in Healthcare: Applying Strategic Intelligence Techniques to Depict 25 Years of Research Development

Maikel Luis Kolling, Leonardo B. Furstenau, Michele Kremer Sott, Bruna Rabaioli, Pedro Henrique Ulmi, Nicola Luigi Bragazzi, Leonel Pablo Carvalho Tedesco
<span title="2021-03-17">2021</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/vyslcn4ljzdq3jes5w7fln3qyu" style="color: black;">International Journal of Environmental Research and Public Health</a> </i> &nbsp;
Our results present a strategic diagram composed of 19 themes, of which the 8 motor themes ('NEURAL-NETWORKS', 'CANCER', 'ELETRONIC-HEALTH-RECORDS', 'DIABETES-MELLITUS', 'ALZHEIMER'S-DISEASE', 'BREAST-CANCER  ...  For this purpose, 6138 articles were sourced from the Web of Science covering the period from 1995 to July 2020 and the SciMAT software was used.  ...  An example of this can be found in a study published in 2010 which combined a global optimization algorithm called Dongguang Li (DGL) with cancer diagnostic methods based on gene selection and microarray  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/ijerph18063099">doi:10.3390/ijerph18063099</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/33802880">pmid:33802880</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC8002654/">pmcid:PMC8002654</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/fl75i3wjnjgy7egtxjztwkl66q">fatcat:fl75i3wjnjgy7egtxjztwkl66q</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210411233005/https://res.mdpi.com/d_attachment/ijerph/ijerph-18-03099/article_deploy/ijerph-18-03099-v2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/af/fd/affd26e9dc2b8eba478e9194f8ce786685bcf38e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/ijerph18063099"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8002654" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Comparative analysis of molecular fingerprints in prediction of drug combination effects

B Zagidullin, Z Wang, Y Guan, E Pitkänen, J Tang
<span title="2021-08-17">2021</span> <i title="Oxford University Press (OUP)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/op7ztx4fhvairowgqifu7dnvsi" style="color: black;">Briefings in Bioinformatics</a> </i> &nbsp;
studies, comprising 64 200 unique combinations of 4153 molecules tested in 112 cancer cell lines.  ...  Our work demonstrates that to identify an optimal molecular representation type, it is necessary to supplement quantitative benchmark results with qualitative considerations, such as model interpretability  ...  Acknowledgements We acknowledge the computational resources provided by the Finnish IT Center for Science. Funding  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1093/bib/bbab291">doi:10.1093/bib/bbab291</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/34401895">pmid:34401895</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC8574997/">pmcid:PMC8574997</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/fx67kl3bavafxelzmtt6xqbwdy">fatcat:fx67kl3bavafxelzmtt6xqbwdy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210820121050/https://watermark.silverchair.com/bbab291.pdf?token=AQECAHi208BE49Ooan9kkhW_Ercy7Dm3ZL_9Cf3qfKAc485ysgAAAtUwggLRBgkqhkiG9w0BBwagggLCMIICvgIBADCCArcGCSqGSIb3DQEHATAeBglghkgBZQMEAS4wEQQMq4QaA1AtvlUCNgItAgEQgIICiCQBasp6MGSF-NU4UI40U1NSc-NnFxCyyfn-jgvHw-PXmaINBQQS-_HbYBQHdVECLUrXVCQCrnxMgSG9bflVFSeZRfx7hT3f39pHmCALOyTxY_32Vf0hOcUawzCtU1oTtRq60RpAwjGkOfurhydPA-6W-wXpBXKaDwmL8loXsI8nZnGcDfiYBReJZde99NGRuNdGctlRe6zsz_E9yqkk6GK5tK60V1rDf1CJIYt5CvJzclzjh0IkkplGp81zXPnU2XFkhdS4pdSys24wq08BrlB8XG8uyX7N46_XQSyCInNLdf5SIE2TBucwaRmWtf5OZTxR5uEKy9QZv1v5S04lnMhq5y5Ernb0FeStAABiCN_1jDnrHRpZi5_K2QI08cbGMFpJfBxVr7-YwYZnkuCXhVFi92BoEg-JqO5gIZbmx9CiphR9CdhzAAFCXMYrkv2CyTztayAVFWuzaJfz9ELoIKNlcXt3DUBA36cYlke29HKMmcmHeqLGYKBDIYDGZh4WZoi5mqMNAMcZMq3IdHse_wHs_YUkZistwewky-znbG2g3ONYje1RwaN_nP9QHoI82pSh4aU8qpC0OeoSaJvPGbvYxl5vSzagLW9CB0WEuTb65KwRBEbV1M5ua77_3eVhUP7htOCl6F7CMBWY_pQLu3m8bBSidYZ9_sKGHTR7d3T0bcVGO97VHDdHiiLfaxGPQ44owfXjM62tBathytTCOKpYDodACC97ISyORcYoDGB8REDIuMzOaKLwVdMrxST95lJZzsPLvXaMkCCZiteU0_NMV_w9W6HaDalOybTv8VXwlq1QzwcBlGRcZcsPDdno0C4TGtNAyLatkXmXAtDye1YQN4AnijcoaA" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/a4/b8/a4b8b164b200b7357e9cf58371d0d68489efc20a.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1093/bib/bbab291"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> oup.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8574997" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Comparative analysis of molecular representations in prediction of cancer drug combination synergy and sensitivity [article]

Bulat Zagidullin, Ziyan Wang, Yuanfang Guan, Esa Pitkänen, Jing Tang
<span title="2021-04-16">2021</span> <i title="Cold Spring Harbor Laboratory"> bioRxiv </i> &nbsp; <span class="release-stage" >pre-print</span>
studies, comprising 64,200 unique combinations of 4,153 molecules tested in 112 cancer cell lines.  ...  Application of machine and deep learning (ML/DL) methods in drug discovery and cancer research has gained a considerable amount of attention in the past years.  ...  A CNN model introduced by Preur et.al. achieved a 0.73 PCC in prediction of Loewe synergy from drug fingerprints, physicochemical molecular descriptors and basal expression of 3 984 cancer-associated genes  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1101/2021.04.16.439299">doi:10.1101/2021.04.16.439299</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/p5jq6uzuq5gofgjrd45fso3vtm">fatcat:p5jq6uzuq5gofgjrd45fso3vtm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210715104108/https://www.biorxiv.org/content/biorxiv/early/2021/06/03/2021.04.16.439299.full.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/92/a0/92a0de1f386c9906c6cbc10621e07f0bef1f88f4.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1101/2021.04.16.439299"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> biorxiv.org </button> </a>

Drug Repurposing for COVID-19 via Knowledge Graph Completion [article]

Rui Zhang, Dimitar Hristovski, Dalton Schutte, Andrej Kastrin, Marcelo Fiszman, Halil Kilicoglu
<span title="2021-02-05">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
The models were trained and assessed using a time slicing approach and the predicted drugs were compared with a list of drugs reported in the literature and evaluated in clinical trials.  ...  Some known drugs linked to COVID-19 in the literature were identified, as well as some candidate drugs that have not yet been studied.  ...  We acknowledge Tom Rindflesch for his encouragement with the project.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2010.09600v2">arXiv:2010.09600v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/un74tklxczhfzmndnau7q4ql3q">fatcat:un74tklxczhfzmndnau7q4ql3q</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210209095523/https://arxiv.org/pdf/2010.09600v2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/dc/26/dc26f9db6eabb4f96378c627845b5cf900f6234f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2010.09600v2" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

PEBP1/RKIP: from multiple functions to a common role in cellular processes [article]

Francoise Schoentgen, Slavica Jonic
<span title="2018-02-07">2018</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
PEBP1 and PEBP4 are the most studied as they are implicated in the development of various cancers.  ...  The aim of this review is to highlight the molecular systems that are common to all these cellular mechanisms in order to decipher the specific role of PEBP1.  ...  We thank Isabelle Callebaut (IMPMC) for helpful advises and fruitful comments. We thank also William Sacks (IMPMC) for reading the manuscript and valuable corrections of the text.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1802.02378v1">arXiv:1802.02378v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/sxnysn7zqjdi5jram6fej2m6ey">fatcat:sxnysn7zqjdi5jram6fej2m6ey</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200901011037/https://arxiv.org/ftp/arxiv/papers/1802/1802.02378.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/b1/30/b13073a297bb4b4344099a31f1af52d4c571d8f3.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1802.02378v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

TNFPred: Identifying tumor necrosis factors using hybrid features based on word embeddings [article]

Trinh-Trung-Duong Nguyen, Nguyen-Quoc-Khanh Le, Quang-Thai Ho, Dinh-Van Phan, Yu-Yen Ou
<span title="2019-12-01">2019</span> <i title="Cold Spring Harbor Laboratory"> bioRxiv </i> &nbsp; <span class="release-stage" >pre-print</span>
The implication of these cytokines can also be seen in various diseases such as insulin resistance, autoimmune diseases, and cancer.  ...  As one important family of cytokines, tumor necrosis factors have association with the regulation of a various biological processes such as proliferation and differentiation of cells, apoptosis, lipid  ...  Consent for publication Not applicable Availability of data and material The datasets generated and/or analyzed during the current study are available in the web server at http:/bio216.bioinfo.yzu.edu.tw  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1101/860791">doi:10.1101/860791</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/q7vefwoaerg7nmvvm4fq2wkiy4">fatcat:q7vefwoaerg7nmvvm4fq2wkiy4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200325052605/https://www.biorxiv.org/content/biorxiv/early/2019/12/01/860791.full.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1101/860791"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> biorxiv.org </button> </a>

Combining Nanomaterials and Developmental Pathways to Design New Treatments for Cardiac Regeneration: The Pulsing Heart of Advanced Therapies

Marco Cassani, Soraia Fernandes, Jan Vrbsky, Ece Ergir, Francesca Cavalieri, Giancarlo Forte
<span title="2020-04-24">2020</span> <i title="Frontiers Media SA"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/tkuhrcyiufdxtkdmjqvay6f2ua" style="color: black;">Frontiers in Bioengineering and Biotechnology</a> </i> &nbsp;
This work offers an overview on the recent nanomedical applications for cardiac regeneration and highlights how the versatility of nanomaterials can be combined with the newest molecular biology discoveries  ...  Researchers have put great efforts into the optimization of the nanoparticles synthesis and functionalization, to control their interactions with the biological milieu and use as a viable alternative to  ...  Romana Vlckova, Helena Durikova, Sabina Gomelska, Hana Zpevakova, Jana Vasickova, and Jana Bartonova for continuous support.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3389/fbioe.2020.00323">doi:10.3389/fbioe.2020.00323</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/32391340">pmid:32391340</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC7193099/">pmcid:PMC7193099</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/7pfsdhmzrbghxa6smnkxv5adwa">fatcat:7pfsdhmzrbghxa6smnkxv5adwa</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200506054431/https://fjfsdata01prod.blob.core.windows.net/articles/files/506432/pubmed-zip/.versions/1/.package-entries/fbioe-08-00323/fbioe-08-00323.pdf?sv=2015-12-11&amp;sr=b&amp;sig=k6MIqDH6tHjJRrsbPYEE5kYfer5hWJ4F73am80WKonM%3D&amp;se=2020-05-06T05%3A45%3A00Z&amp;sp=r&amp;rscd=attachment%3B%20filename%2A%3DUTF-8%27%27fbioe-08-00323.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3389/fbioe.2020.00323"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> frontiersin.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7193099" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future

David Ahmedt-Aristizabal, Mohammad Ali Armin, Simon Denman, Clinton Fookes, Lars Petersson
<span title="2021-07-12">2021</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/taedaf6aozg7vitz5dpgkojane" style="color: black;">Sensors</a> </i> &nbsp;
With the advances of data-driven machine learning research, a wide variety of prediction problems have been tackled.  ...  We also outline the limitations of existing techniques and discuss potential directions for future research.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s21144758">doi:10.3390/s21144758</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/jytyt4u2pjgvhnhcto3vcvd3a4">fatcat:jytyt4u2pjgvhnhcto3vcvd3a4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210717022131/https://res.mdpi.com/d_attachment/sensors/sensors-21-04758/article_deploy/sensors-21-04758-v2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/bb/0b/bb0bd2fcbef125f33b26617e53f44ed65338982b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s21144758"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future [article]

David Ahmedt-Aristizabal, Mohammad Ali Armin, Simon Denman, Clinton Fookes, Lars Petersson
<span title="2021-05-27">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
With the advances of data-driven machine learning research, a wide variety of prediction problems have been tackled.  ...  We also outline the limitations of existing techniques and discuss potential directions for future research.  ...  The authors introduced global-local GCNs that jointly learn the structure and connection weights to optimize the taskrelated learning of iEEG signals.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2105.13137v1">arXiv:2105.13137v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/gm7d2ziagba7bj3g34u4t3k43y">fatcat:gm7d2ziagba7bj3g34u4t3k43y</a> </span>
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Potential Role of Nanoparticles in Treating the Accumulation of Amyloid-Beta Peptide in Alzheimer's Patients

Mohamed Abbas
<span title="2021-03-27">2021</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ma7srn4ogzduvotoi5tuhzgngu" style="color: black;">Polymers</a> </i> &nbsp;
The role of these nanoparticles varied from delivering the drug to brain cells to dealing with the disease-causing peptide.  ...  The amino acid peptides in the amyloid plaques found in the brains of people with Alzheimer's disease (AD) are known as amyloid-beta (Aβ).  ...  Conflicts of Interest: The author declares no conflict of interest.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/polym13071051">doi:10.3390/polym13071051</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/33801619">pmid:33801619</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/c2xfddrq4ffihnsaqjnad7fsmy">fatcat:c2xfddrq4ffihnsaqjnad7fsmy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210330115302/https://res.mdpi.com/d_attachment/polymers/polymers-13-01051/article_deploy/polymers-13-01051-v2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/ae/64/ae6442def42f11fbf9f16ab1bce58cadc7a57025.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/polym13071051"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

A Survey of Deep Learning for Scientific Discovery [article]

Maithra Raghu, Eric Schmidt
<span title="2020-03-26">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
training methods, along with techniques to use deep learning with less data and better interpret these complex models --- two central considerations for many scientific use cases.  ...  At the same time, the amount of data collected in a wide array of scientific domains is dramatically increasing in both size and complexity.  ...  and Guy Gur-Ari for feedback and comments on earlier versions.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2003.11755v1">arXiv:2003.11755v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/igy35ko5hfcj5ctp5nck7y2z44">fatcat:igy35ko5hfcj5ctp5nck7y2z44</a> </span>
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Thirty-eighth Annual Meeting March 6-10, 1994 New Orleans Convention Center New Orleans, Louisiana. Monday Symposia and Posters, Part IV

<span title="">1994</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/dez2wau7t5aqvklzwrcsreuwq4" style="color: black;">Biophysical Journal</a> </i> &nbsp;
In light of the overexpression of some heat shock genes, in the absence of elevated temperature, we conclude that EM fields appear to stimulate a natural pathway that is similar to the one used by cells  ...  , and the homologous gene SSAl in yeast.  ...  We have made mutations in the bon gene region coding for the leader sequence and expressed the mutant genes in an H. mutant lacking wild-type BR.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/s0006-3495(94)80815-x">doi:10.1016/s0006-3495(94)80815-x</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/5qyysizpgfhophydgtu4nofoyq">fatcat:5qyysizpgfhophydgtu4nofoyq</a> </span>
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Poster session 2THE IMAGING EXAMINATIONP536Appropriate use criteria of transthoracic echocardiography and its clinical impact: a continuous challengeP537Implementation of proprietary plug-ins in the DICOM-based computerized echo reporting system fuels the use of 3D echo and deformation imaging in the clinical routine of a multivendor laboratoryP538Exercise stress echocardiography appropriate use criteria: real-life cases classification ease and agreement among cardiologistsANATOMY AND PHYSIOLOGY OF THE HEAR ...

S Martins Fernandes, L Badano, A Garcia Campos, T Erdei, G Mehdipoor, N Hanboly, BW Michalski, O Vriz, VY Mo, T T Le, JM Ribeiro, J Ternacle (+703 others)
<span title="">2015</span> <i title="Oxford University Press (OUP)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/bpzphzxlnjafnlh625unjjm23q" style="color: black;">European Heart Journal-Cardiovascular Imaging</a> </i> &nbsp;
All classifications were evaluated by two independent cardiologists, with no direct relation to the study. Results: Our sample had a mean age of 63 + 17 years with a gender balance.  ...  Objective: The aim of this study was to assess the degree of adherence to the appropriate use criteria for echocardiography, in a tertiary public hospital in the United Kingdom, as well as the clinical  ...  to multiple genes.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1093/ehjci/jev278">doi:10.1093/ehjci/jev278</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/huobr5tcx5gcvja3gwk6atqtzm">fatcat:huobr5tcx5gcvja3gwk6atqtzm</a> </span>
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