Pub Date : 2024-07-03DOI: 10.1108/aci-12-2023-0167
Soha Rawas, Cerine Tafran, D. Alsaeed
PurposeAccurate diagnosis of brain tumors is crucial for effective treatment and improved patient outcomes. Magnetic resonance imaging (MRI) is a common method for detecting brain malignancies, but interpreting MRI data can be challenging and time-consuming for healthcare professionals.Design/methodology/approachAn innovative method is presented that combines deep learning (DL) models with natural language processing (NLP) from ChatGPT to enhance the accuracy of brain tumor detection in MRI scans. The method generates textual descriptions of brain tumor regions, providing clinicians with valuable insights into tumor characteristics for informed decision-making and personalized treatment planning.FindingsThe evaluation of this approach demonstrates promising outcomes, achieving a notable Dice coefficient score of 0.93 for tumor segmentation, outperforming current state-of-the-art methods. Human validation of the generated descriptions confirms their precision and conciseness.Research limitations/implicationsWhile the method showcased advancements in accuracy and understandability, ongoing research is essential for refining the model and addressing limitations in segmenting smaller or atypical tumors.Originality/valueThese results emphasized the potential of this innovative method in advancing neuroimaging practices and contributing to the effective detection and management of brain tumors.
{"title":"ChatGPT-powered deep learning: elevating brain tumor detection in MRI scans","authors":"Soha Rawas, Cerine Tafran, D. Alsaeed","doi":"10.1108/aci-12-2023-0167","DOIUrl":"https://doi.org/10.1108/aci-12-2023-0167","url":null,"abstract":"PurposeAccurate diagnosis of brain tumors is crucial for effective treatment and improved patient outcomes. Magnetic resonance imaging (MRI) is a common method for detecting brain malignancies, but interpreting MRI data can be challenging and time-consuming for healthcare professionals.Design/methodology/approachAn innovative method is presented that combines deep learning (DL) models with natural language processing (NLP) from ChatGPT to enhance the accuracy of brain tumor detection in MRI scans. The method generates textual descriptions of brain tumor regions, providing clinicians with valuable insights into tumor characteristics for informed decision-making and personalized treatment planning.FindingsThe evaluation of this approach demonstrates promising outcomes, achieving a notable Dice coefficient score of 0.93 for tumor segmentation, outperforming current state-of-the-art methods. Human validation of the generated descriptions confirms their precision and conciseness.Research limitations/implicationsWhile the method showcased advancements in accuracy and understandability, ongoing research is essential for refining the model and addressing limitations in segmenting smaller or atypical tumors.Originality/valueThese results emphasized the potential of this innovative method in advancing neuroimaging practices and contributing to the effective detection and management of brain tumors.","PeriodicalId":12,"journal":{"name":"ACS Chemical Health & Safety","volume":"212 1","pages":""},"PeriodicalIF":12.3,"publicationDate":"2024-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141681292","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-03DOI: 10.1021/acs.chas.4c00053
Lauren Goulding
The EPA held a webinar on DCM rule changes on June 6, 2024. Slides for the webinar are available here: https://www.epa.gov/chemicals-under-tsca/register-epas-webinar-final-methylene-chloride-risk-management-rule. MIT maintains a central database of green chemistry solvent substitutions and resources to help with solvent selection: https://ehs.mit.edu/green-chemistry/. This article references 4 other publications. This article has not yet been cited by other publications. This article references 4 other publications.
{"title":"The Gist of the List","authors":"Lauren Goulding","doi":"10.1021/acs.chas.4c00053","DOIUrl":"https://doi.org/10.1021/acs.chas.4c00053","url":null,"abstract":"The EPA held a webinar on DCM rule changes on June 6, 2024. Slides for the webinar are available here: https://www.epa.gov/chemicals-under-tsca/register-epas-webinar-final-methylene-chloride-risk-management-rule. MIT maintains a central database of green chemistry solvent substitutions and resources to help with solvent selection: https://ehs.mit.edu/green-chemistry/. This article references 4 other publications. This article has not yet been cited by other publications. This article references 4 other publications.","PeriodicalId":12,"journal":{"name":"ACS Chemical Health & Safety","volume":"49 1","pages":""},"PeriodicalIF":0.73,"publicationDate":"2024-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141532488","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-03DOI: 10.1021/acs.chas.4c00055
Pamela Pollet, Jeremy Breuzard
Published as part of ACS Chemical Health & Safety virtual special issue “The Chemical Exposure Multiverse”. ACS Chemical Health& Safety (ACS CHAS) is calling for papers for a Virtual Special Issue (VSI) that represents different types of chemical exposures that workers, researchers, and the public may encounter. As previous publications in ACS CHAS have shown, (1−8) the prevention, mitigation, management, and response of occupational chemical exposures (chronic and acute) is multifaceted. For example, maker spaces, palm oil mills, laboratories, medical facilities, and art restoration must all quantify and control chemical exposures albeit in different ways. This VSI will showcase high-impact contributions in the field by collating perspectives and research from all the relevant disciplines such as toxicology, industrial and chemical hygiene, chemistry, engineering, epidemiology, health, education, public health, and public policy. Societies across the world are dependent upon synthetic chemicals to support modern living standards. More than ever, it is necessary to maximize the benefits of chemical usage while simultaneously minimizing the inherent risks associated with the transfer of chemicals from the controlled industrial environment to diverse settings, where they are repeatedly encountered by a workforce less able to recognize and mitigate hazards. The United Nations recognized these challenges in its 2022 sustainable development goals (SDGs), (9) which among others include the (i) assurance of good health and well-being (3), (ii) reduction of inequalities (10), (iii) decent work and economic growth (8), (iv) innovation in industry and infrastructure (9), and (v) responsible consumption and production (12). It is therefore imperative to support the U.N. SDGs by collecting, validating, and analyzing data on chemical exposure in diverse occupational environments and, ultimately, to provide reliable scientific reports and tools to inform effective decision-making and risk management. There have been tremendous progress and development to establish accurate toxicities and exposure limits as well as countless efforts to support productivity while protecting human health. This issue aims at capturing, highlighting and disseminating the current research, new developments and studies as well as challenges, creative solutions, best practices, and accounts from the “trenches”. The intentional multidisciplinary perspective adopted here is essential for a scientifically valid understanding of potential risks and their mitigation (Figure 1). As a consequence, we invite contributions of all manuscript types that address topics within ACS CHAS scope, including (but not limited to): Occupational and environmental exposures Toxicology and toxicological studies Epidemiology Chemical safety education Public health and public safety accounts Chemical hygiene Chemical safety and safety culture management Modelin
{"title":"The Chemical Exposure Multiverse: A Call for Papers that Provide Accurate Toxicity and Exposure Data in the Laboratory and Beyond","authors":"Pamela Pollet, Jeremy Breuzard","doi":"10.1021/acs.chas.4c00055","DOIUrl":"https://doi.org/10.1021/acs.chas.4c00055","url":null,"abstract":"Published as part of <i>ACS Chemical Health & Safety</i> virtual special issue “The Chemical Exposure Multiverse”. <i>ACS Chemical Health</i><i>& Safety</i> (<i>ACS CHAS</i>) is calling for papers for a Virtual Special Issue (VSI) that represents different types of chemical exposures that workers, researchers, and the public may encounter. As previous publications in <i>ACS CHAS</i> have shown, (1−8) the prevention, mitigation, management, and response of occupational chemical exposures (chronic and acute) is multifaceted. For example, maker spaces, palm oil mills, laboratories, medical facilities, and art restoration must all quantify and control chemical exposures albeit in different ways. This VSI will showcase high-impact contributions in the field by collating perspectives and research from all the relevant disciplines such as toxicology, industrial and chemical hygiene, chemistry, engineering, epidemiology, health, education, public health, and public policy. Societies across the world are dependent upon synthetic chemicals to support modern living standards. More than ever, it is necessary to maximize the benefits of chemical usage while simultaneously minimizing the inherent risks associated with the transfer of chemicals from the controlled industrial environment to diverse settings, where they are repeatedly encountered by a workforce less able to recognize and mitigate hazards. The United Nations recognized these challenges in its 2022 sustainable development goals (SDGs), (9) which among others include the (i) assurance of good health and well-being (3), (ii) reduction of inequalities (10), (iii) decent work and economic growth (8), (iv) innovation in industry and infrastructure (9), and (v) responsible consumption and production (12). It is therefore imperative to support the U.N. SDGs by collecting, validating, and analyzing data on chemical exposure in diverse occupational environments and, ultimately, to provide reliable scientific reports and tools to inform effective decision-making and risk management. There have been tremendous progress and development to establish accurate toxicities and exposure limits as well as countless efforts to support productivity while protecting human health. This issue aims at capturing, highlighting and disseminating the current research, new developments and studies as well as challenges, creative solutions, best practices, and accounts from the “trenches”. The intentional multidisciplinary perspective adopted here is essential for a scientifically valid understanding of potential risks and their mitigation (Figure 1). As a consequence, we invite contributions of all manuscript types that address topics within <i>ACS CHAS</i> scope, including (but not limited to): Occupational and environmental exposures Toxicology and toxicological studies Epidemiology Chemical safety education Public health and public safety accounts Chemical hygiene Chemical safety and safety culture management Modelin","PeriodicalId":12,"journal":{"name":"ACS Chemical Health & Safety","volume":"27 1","pages":""},"PeriodicalIF":0.73,"publicationDate":"2024-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141547270","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-02DOI: 10.1158/0008-5472.CAN-23-1349
Brian S. White, XingYi Woo, Soner Koc, Todd B. Sheridan, Steven B. Neuhauser, Shidan Wang, Yvonne A. Evrard, Li Chen, Ali Foroughi pour, John D. Landua, R. J. Mashl, Sherri Davies, Bingliang Fang, Maria Gabriela Rosa, K. Evans, Matthew H. Bailey, Yeqing Chen, Min Xiao, Jill C. Rubinstein, Brian J. Sanderson, Michael W. Lloyd, Sergii Domanskyi, L. Dobrolecki, Maihi Fujita, J. Fujimoto, Guanghua Xiao, Ryan C. Fields, Jacqueline L Mudd, Xiaowei Xu, M. Hollingshead, S. Jiwani, Saul E. Acevedo, PDXNet consortium, B. Davis-Dusenbery, Peter N. Robinson, J. Moscow, James H. Doroshow, Nicholas Mitsiades, S. Kaochar, Chong-xian Pan, Luis G. Carvajal-Carmona, A. Welm, B. Welm, R. Govindan, Shunqiang Li, Michael A. Davies, Jack A Roth, Funda Meric-Bernstam, Yang Xie, M. Herlyn, Li Ding, Michael T. Lewis, Carol J. Bult, Dennis A. Dean, Jeffrey H. Chuang
A pan-cancer repository of >1,000 patient-derived xenograft hematoxylin and eosin–stained images will facilitate cancer biology investigations through histopathological analysis and contributes important model system data that expands existing human histology repositories.
{"title":"A Pan-Cancer Patient-Derived Xenograft Histology Image Repository with Genomic and Pathologic Annotations Enables Deep Learning Analysis","authors":"Brian S. White, XingYi Woo, Soner Koc, Todd B. Sheridan, Steven B. Neuhauser, Shidan Wang, Yvonne A. Evrard, Li Chen, Ali Foroughi pour, John D. Landua, R. J. Mashl, Sherri Davies, Bingliang Fang, Maria Gabriela Rosa, K. Evans, Matthew H. Bailey, Yeqing Chen, Min Xiao, Jill C. Rubinstein, Brian J. Sanderson, Michael W. Lloyd, Sergii Domanskyi, L. Dobrolecki, Maihi Fujita, J. Fujimoto, Guanghua Xiao, Ryan C. Fields, Jacqueline L Mudd, Xiaowei Xu, M. Hollingshead, S. Jiwani, Saul E. Acevedo, PDXNet consortium, B. Davis-Dusenbery, Peter N. Robinson, J. Moscow, James H. Doroshow, Nicholas Mitsiades, S. Kaochar, Chong-xian Pan, Luis G. Carvajal-Carmona, A. Welm, B. Welm, R. Govindan, Shunqiang Li, Michael A. Davies, Jack A Roth, Funda Meric-Bernstam, Yang Xie, M. Herlyn, Li Ding, Michael T. Lewis, Carol J. Bult, Dennis A. Dean, Jeffrey H. Chuang","doi":"10.1158/0008-5472.CAN-23-1349","DOIUrl":"https://doi.org/10.1158/0008-5472.CAN-23-1349","url":null,"abstract":"A pan-cancer repository of >1,000 patient-derived xenograft hematoxylin and eosin–stained images will facilitate cancer biology investigations through histopathological analysis and contributes important model system data that expands existing human histology repositories.","PeriodicalId":12,"journal":{"name":"ACS Chemical Health & Safety","volume":"32 34","pages":"2060 - 2072"},"PeriodicalIF":12.5,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141685564","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-01DOI: 10.1016/j.jhazmat.2024.135193
Javeria Zaheer, Ho Sun Lee, Seungyoun Kim, Jaehee Jang, Hyeongi Kim, Jonghoon Choi, Min-Hyun Park, Jin Su Kim
{"title":"Microplastic polyethylene induced inner ear dysfunction in murine model","authors":"Javeria Zaheer, Ho Sun Lee, Seungyoun Kim, Jaehee Jang, Hyeongi Kim, Jonghoon Choi, Min-Hyun Park, Jin Su Kim","doi":"10.1016/j.jhazmat.2024.135193","DOIUrl":"https://doi.org/10.1016/j.jhazmat.2024.135193","url":null,"abstract":"","PeriodicalId":12,"journal":{"name":"ACS Chemical Health & Safety","volume":"13 26","pages":""},"PeriodicalIF":12.2,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141699968","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-01DOI: 10.1016/j.jhazmat.2024.135128
Kanika Dogra, Dipa Lalwani, Shiwangi Dogra, Durga Prasad Panday, Nirav P. Raval, Murgesh Trivedi, Abrahan Mora, Misael Sebastian Gradilla Hernandez, Shane A. Snyder, Jürgen Mahlknecht, Manish Kumar
{"title":"Indian and global Scenarios of Bisphenols A distribution and its new analogues: Prevalence & Probability Exceedance","authors":"Kanika Dogra, Dipa Lalwani, Shiwangi Dogra, Durga Prasad Panday, Nirav P. Raval, Murgesh Trivedi, Abrahan Mora, Misael Sebastian Gradilla Hernandez, Shane A. Snyder, Jürgen Mahlknecht, Manish Kumar","doi":"10.1016/j.jhazmat.2024.135128","DOIUrl":"https://doi.org/10.1016/j.jhazmat.2024.135128","url":null,"abstract":"","PeriodicalId":12,"journal":{"name":"ACS Chemical Health & Safety","volume":"202 2","pages":""},"PeriodicalIF":12.2,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141692667","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-01DOI: 10.1016/j.jhazmat.2024.135090
Da-Hye Kim, Ga-Young Park, Donghyun Kim, Hae Sun Suh, Jeong-Eun Oh
{"title":"Nationwide Assessment of Illicit Drug Consumption Patterns in South Korea using Wastewater-Based Epidemiology during the COVID-19 Pandemic (2020–2022)","authors":"Da-Hye Kim, Ga-Young Park, Donghyun Kim, Hae Sun Suh, Jeong-Eun Oh","doi":"10.1016/j.jhazmat.2024.135090","DOIUrl":"https://doi.org/10.1016/j.jhazmat.2024.135090","url":null,"abstract":"","PeriodicalId":12,"journal":{"name":"ACS Chemical Health & Safety","volume":"32 18","pages":""},"PeriodicalIF":12.2,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141710408","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-01DOI: 10.1016/j.jhazmat.2024.135214
Eunsol Bae, Song-Hyok Kim, Jae Hyuck Sung, Joo Hyung Kim, Sang Hwa Jung, Kyung-Seuk Song, Wan-Seob Cho
{"title":"The oxidative stress-dependent pulmonary inflammation of inhalable multi-walled carbon nanotube-containing nano-concrete dust and its comparison with conventional concrete dust and DQ12","authors":"Eunsol Bae, Song-Hyok Kim, Jae Hyuck Sung, Joo Hyung Kim, Sang Hwa Jung, Kyung-Seuk Song, Wan-Seob Cho","doi":"10.1016/j.jhazmat.2024.135214","DOIUrl":"https://doi.org/10.1016/j.jhazmat.2024.135214","url":null,"abstract":"","PeriodicalId":12,"journal":{"name":"ACS Chemical Health & Safety","volume":"16 41","pages":""},"PeriodicalIF":12.2,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141699930","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-01DOI: 10.1016/j.jhazmat.2024.135206
Ningbo Wang, Rongrong Zhang, Yinan Wang, Liuquan Zhang, A. Sun, Zeming Zhang, Xizhi Shi
{"title":"Accumulation and growth toxicity mechanisms of fluxapyroxad revealed by physiological, hepatopancreas transcriptome and gut microbiome analysis in Pacific white shrimp (Litopenaeus vannamei)","authors":"Ningbo Wang, Rongrong Zhang, Yinan Wang, Liuquan Zhang, A. Sun, Zeming Zhang, Xizhi Shi","doi":"10.1016/j.jhazmat.2024.135206","DOIUrl":"https://doi.org/10.1016/j.jhazmat.2024.135206","url":null,"abstract":"","PeriodicalId":12,"journal":{"name":"ACS Chemical Health & Safety","volume":"141 s1","pages":""},"PeriodicalIF":12.2,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141694943","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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