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Total 327 results found since Jan 2013.

Firefighters Fear the Toxic Chemicals in Their Gear Could Be Causing Cancer
BOSTON (AP) — Boston firefighter Daniel Ranahan had heard about colleagues getting cancer but he was stunned when doctors discovered a tumor in his chest. He was only 30 and had been in the Boston Fire Department less than a decade. But as he investigated his diagnosis of Hodgkin’s lymphoma in October 2020 and sought successful treatment, he learned he and others wore gear that contained the toxic industrial compound PFAS. [time-brightcove not-tgx=”true”] “You always hear about the dangers. You just never think it’s going be you,” said Ranahan, who stopped working due to the...
Source: TIME: Health - September 14, 2023 Category: Consumer Health News Authors: MICHAEL CASEY / AP Tags: Uncategorized wire Source Type: news

Robust deep learning-based PET prognostic imaging biomarker for DLBCL patients: a multicenter study
CONCLUSIONS: The DLSs were identified as robust prognostic imaging biomarkers for survival in DLBCL patients. Moreover, the multiparametric models developed in this study exhibited promising potential in accurately stratifying patients based on their survival risk.PMID:37606859 | DOI:10.1007/s00259-023-06405-y
Source: Molecular Medicine - August 22, 2023 Category: Molecular Biology Authors: Chong Jiang Chunjun Qian Zekun Jiang Yue Teng Ruihe Lai Yiwen Sun Xinye Ni Chongyang Ding Yuchao Xu Rong Tian Source Type: research

Machine learning model with texture analysis for automatic classification of histopathological images of ocular adnexal mucosa-associated lymphoid tissue lymphoma of two different origins
Conclusion: Artificial intelligence algorithms can successfully distinguish between orbital and conjunctival MALT.PMID:37566457 | DOI:10.1080/02713683.2023.2246696
Source: Current Eye Research - August 11, 2023 Category: Opthalmology Authors: Mizuki Tagami Mizuho Nishio Atsuko Katsuyama-Yoshikawa Norihiko Misawa Atsushi Sakai Yusuke Haruna Atsushi Azumi Shigeru Honda Source Type: research

Machine Learning Model with Texture Analysis for Automatic Classification of Histopathological Images of Ocular Adnexal Mucosa-associated Lymphoid Tissue Lymphoma of Two Different Origins
CONCLUSION: Artificial intelligence algorithms can successfully distinguish HE images between orbital and conjunctival MALT lymphomas.PMID:37566457 | DOI:10.1080/02713683.2023.2246696
Source: Current Eye Research - August 11, 2023 Category: Opthalmology Authors: Mizuki Tagami Mizuho Nishio Atsuko Katsuyama-Yoshikawa Norihiko Misawa Atsushi Sakai Yusuke Haruna Atsushi Azumi Shigeru Honda Source Type: research

Machine learning model with texture analysis for automatic classification of histopathological images of ocular adnexal mucosa-associated lymphoid tissue lymphoma of two different origins
Conclusion: Artificial intelligence algorithms can successfully distinguish between orbital and conjunctival MALT.PMID:37566457 | DOI:10.1080/02713683.2023.2246696
Source: Current Eye Research - August 11, 2023 Category: Opthalmology Authors: Mizuki Tagami Mizuho Nishio Atsuko Katsuyama-Yoshikawa Norihiko Misawa Atsushi Sakai Yusuke Haruna Atsushi Azumi Shigeru Honda Source Type: research

Anticancer clinical efficiency and stochastic mechanisms of belinostat
Biomed Pharmacother. 2023 Aug 1;165:115212. doi: 10.1016/j.biopha.2023.115212. Online ahead of print.ABSTRACTCancer progression is strongly affected by epigenetic events in addition to genetic modifications. One of the key elements in the epigenetic control of gene expression is histone modification through acetylation, which is regulated by the synergy between histone acetyltransferases (HATs) and histone deacetylases (HDACs). HDACs are thought to offer considerable potential for the development of anticancer medications, particularly when used in conjunction with other anticancer medications and/or radiotherapy. Belinost...
Source: Cancer Control - August 4, 2023 Category: Cancer & Oncology Authors: Nasreddine El Omari Saad Bakrim Asaad Khalid Mohammed Albratty Ashraf N Abdalla Learn-Han Lee Khang Wen Goh Long Chiau Ming Abdelhakim Bouyahya Source Type: research

Integrative Prognostic Machine Learning Models in Mantle Cell Lymphoma
Cancer Res Commun. 2023 Aug 2;3(8):1435-1446. doi: 10.1158/2767-9764.CRC-23-0083. eCollection 2023 Aug.ABSTRACTPatients with mantle cell lymphoma (MCL), an incurable B-cell malignancy, benefit from accurate pretreatment disease stratification. We curated an extensive database of 862 patients diagnosed between 2014 and 2022. A machine learning (ML) gradient-boosted model incorporated baseline features from clinicopathologic, cytogenetic, and genomic data with high predictive power discriminating between patients with indolent or responsive MCL and those with aggressive disease (AUC ROC = 0.83). In addition, we utilized the ...
Source: Cell Research - August 4, 2023 Category: Cytology Authors: Holly A Hill Preetesh Jain Chi Young Ok Koji Sasaki Han Chen Michael L Wang Ken Chen Source Type: research