Trifluridine/tipiracil regimen in combination with bevacizumab for metastatic colorectal cancer in the third line: an expert opinion by Carmine Pinto, Sara Lonardi, Evaristo Maiello, Erika Martinelli, Michele Prisciandaro, Lisa Salvatore, Lisa Salvatore, Andrea Sartore-Bianchi, Andrea Sartore-Bianchi, Mario Scartozzi, Giuseppe Aprile, Chiara Cremolini, Alberto Sobrero

“…Based on a critical review of the literature aimed to guide clinicians in their daily decision-making, we point out that the combination of FTD/TPI with bevacizumab produces a clinical benefit in unselected mCRC patients. …”
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Designing the First Pregnancy Guaranteed Income Program in the United States: Qualitative Needs Assessment and Human-Centered Design to Develop the Abundant Birth Project by Deborah Karasek, Jazzmin C Williams, Michaela A Taylor, Monica M De La Cruz, Stephanie Arteaga, Sabra Bell, Esperanza Castillo, Maile A Chand, Anjeanette Coats, Erin M Hubbard, Latriece Love-Goodlett, Breezy Powell, Solaire Spellen, Zea Malawa, Anu Manchikanti Gomez

“…ConclusionsThe formative design process maximized community input and shared decision-making to co-design a guaranteed income program for Black and Pacific Islander women and people. …”
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Successful Pregnancy Outcome in a Patient Treated with Pembrolizumab and Exposed to Fluoro-Deoxyglucose (¹⁸F-FDG) PET/CT: Case Report and Review of Literature by Anna Lucia Mastricci, Felice Sorrentino, Elisa Giansiracusa, Erika Zanzarelli, Graziana Silvana De Lucia, Vincenza Fernanda Fesce, Luigi Nappi, Lorenzo Vasciaveo

“…Further research and registries are crucial to provide robust evidence for clinical decision-making in these complex scenarios.…”
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Implementasi Sistem Peramalan Pengadaan Kebutuhan Bahan Baku Pangan Dengan Metode Weighted Moving Average by Reza Ena Erlinda, Uky Yudatama, Endah Ratna Arumi

“…This study aims to facilitate and minimize mistakes in carrying out the data collection process and to find out the estimated needs for food raw materials in the future as a reference in the managerial decision-making process. Forecasting is a method as a tool in carrying out an efficient and effective planning. …”
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Optimization of fatigue life of the seismic vibrator baseplate considering the coupling effect of welding residual stress by Zhen Chen, Qiaomu Wang, Shulong Nie, Shuang Jing, Bo Kong, Nan Luan

“…Furthermore, multi-objective optimization algorithms and fusion decision-making methods were applied to the fatigue life optimization of the SVB, offering novel research approaches and methodologies. …”
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Integrating Remote Sensing and Soil Features for Enhanced Machine Learning-Based Corn Yield Prediction in the Southern US by Sayantan Sarkar, Javier M. Osorio Leyton, Efrain Noa-Yarasca, Kabindra Adhikari, Chad B. Hajda, Douglas R. Smith

“…Efficient and reliable corn (<i>Zea mays</i> L.) yield prediction is important for varietal selection by plant breeders and management decision-making by growers. Unlike prior studies that focus mainly on county-level or controlled laboratory-scale areas, this study targets a production-scale area, better representing real-world agricultural conditions and offering more practical relevance for farmers. …”
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Prevention and management of degenerative lumbar spine disorders through artificial intelligence-based decision support systems: a systematic review by Paolo Giaccone, Federico D’Antoni, Fabrizio Russo, Luca Ambrosio, Giuseppe Francesco Papalia, Onorato d’Angelis, Gianluca Vadalà, Albert Comelli, Luca Vollero, Mario Merone, Rocco Papalia, Vincenzo Denaro

“…These findings lay the foundation for further research to improve the current understanding and encourage wider adoption of AI in clinical decision-making.…”
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Evaluation of Siemens Healthineers’ StrokeSegApp for automated diffusion and perfusion lesion segmentation in patients with ischemic stroke by Lynnet-Samuel J. Teichmann, Ahmed A. Khalil, Kersten Villringer, Jochen B. Fiebach, Stefan Huwer, Eli Gibson, Ivana Galinovic

“…Out of 56 subjects meeting DEFUSE 2/3 criteria in the cohort, it correctly identified mechanical thrombectomy candidates with a sensitivity of 82.1% (95% CI: 63.1–93.9%) and a specificity of 96.4% (95% CI: 81.7–99.9%).ConclusionThe Siemens Healthineers’ StrokeSegApp provides accurate automated segmentation of ischemic stroke lesions, comparable to human experts as well as similar commercial software, and shows potential as a reliable tool in clinical decision-making for stroke treatment.…”
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Collaborative design of a care pathway for pharmacy-based PrEP delivery in Nigeria: insights from stakeholder consultation by Obinna I. Ekwunife, Theodora C. Omenoba, Ugochi Eyong, Valentine Okelu, Michael Alagbile, Ifeanyi Ume, Ambrose Eze, Aderinola Fisayo, Gloria Aidoo-Frimpong, Farah Shroff, Chimezie Anyakora

“…The meeting utilized the Nominal Group Technique (NGT)—a structured method for facilitating group decision-making and prioritizing ideas—to adapt the Kenyan pharmacy-delivered PrEP model for implementation in the Nigerian context. …”
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Community case study: an academia-industry-government partnership that monitors and predicts outbreaks in Tri-County Detroit area since 2017 by Irene Xagoraraki, Liang Zhao, Yabing Li, Brijen Miyani, John Norton, James Broz, Andrew Kaye, Anna Mehrotra, Anil Gosine, Scott Withington, Stacey McFarlane, Russell A. Faust

“…The successful implementations and advancements of wastewater surveillance in the TCDA advocate the importance of frequent communications and interactions within the partnership, idea generations from each stakeholder for decision-making, maintenance of scientific rigor, ethical awareness, and more.…”
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Precision Psychobiotics for Gut–Brain Axis Health: Advancing the Discovery Pipelines to Deliver Mechanistic Pathways and Proven Health Efficacy by Rebecca F. Slykerman, Naomi Davies, Klara Vlckova, Kenneth J. O'Riordan, Shalome A. Bassett, James Dekker, Harriët Schellekens, Niall P. Hyland, Gerard Clarke, Elaine Patterson

“…Expediting the transition from positive preclinical data to proven benefits in humans includes interpreting the promises and pitfalls of animal behavioural assays, as well as navigating mechanism‐informed decision making to select the right microbe(s) for the job. …”
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Evaluation of Machine Learning Models for Stress Symptom Classification of Cucumber Seedlings Grown in a Controlled Environment by Kyu-Ho Lee, Samsuzzaman, Md Nasim Reza, Sumaiya Islam, Shahriar Ahmed, Yeon Jin Cho, Dong Hee Noh, Sun-Ok Chung

“…This study highlights the potential of ML-driven stress symptom detection models for controlled seedling production, enabling real-time decision-making to optimize crop health and productivity.…”
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Barriers and enablers to recruiting participants within paediatric perioperative and anaesthetic settings: lessons learned from a trial of melatonin versus midazolam in the premedi... by Marie C. Hyslop, Diana E. Papaioannou, Robert Bolt, Matthew J. Wilson, Michael Bradburn, Janet Clarkson, Esther Herbert, Nicholas Ireland, Jennifer Kettle, Amanda Loban, Amy C. Norrington, Christopher Vernazza, Christopher Deery

“…Results: Issues encountered included time sensitivity within pressured environments; feasibility of paediatric assent; research pharmacy availability; variation in anaesthetist equipoise; multifactorial decision-making issues in premedication selection; and the Associate Principal Investigator scheme being unable to support trials within anaesthetic trainee rotations. …”
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Water security in North Carolina’s most economically insecure county: a case study by Hana C Long, Beverly Collins-Hall, Kaelan Moore, Bethany Cutts, Jacqueline MacDonald Gibson

“…Despite mandated efforts to allocate significant federal resources to infrastructure funding in ‘disadvantaged communities,’ communities with the most need risk systematic exclusion from access to resources, decision-making structures, and even benefits of research intended to address inequitable infrastructure services and health outcomes in their own communities. …”
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A Cross-Sectional Comparative Study of the Performance of the Widal Test and the Typhidot Immunoassay for Typhoid Fever Diagnosis in the West Region of Cameroon by Karimo Ousenu, Innocent Mbulli Ali, Leonard Fonkeng Sama, Marcel Nsangou Ndam, Thibau Florant Tchouangueu, Christopher Bonglavnyuy Tume

“…The diagnosis of typhoid fever based on the Widal slide agglutination test remains a major hurdle in developing countries due to varied perceptions of the value of the Widal test in determining clinical decision-making. We undertook a study to evaluate the diagnostic performance of the Widal test and the Typhidot immunoassay in patients suspected of having typhoid fever in the Menoua division, West Region of Cameroon. …”
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How Does Preoperative Pure Tone Audiometry Relate to the Findings at Surgery to Explain the Hearing Status in Chronic Otitis Media? by Sharafali KADAMBOTT, Prasanta KUMAR GURE, Soumya GHATAK, Mainak DUTTA, Chandan SETH, Saumik DAS, Ramanuj SINHA

“…Objective: Pure tone audiometry (PTA) guides surgical decision-making in chronic otitis media (COM), and PTA values depend upon the type and extent of COM. …”
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Investigating the Feasibility of Behavioral Nudges to Reduce the Phenomenon of Escape from Responsibility in Public Sector by Seyed Kamal Vaezi, Mahboubeh Hosseini

“…These biases essentially pave the way for escape from responsibility by deviating decision-making from the right path. The nudges identified in this research, influenced by theoretical and field studies, were categorized into six groups, which have the potential to prevent and control behaviors leading to omission in employees. …”
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Cultural adaptation of ENABLE (Educate, Nurture, Advise, Before Life Ends) an early palliative care model for Iranian patients with heart failure and their caregivers: a qualitativ... by Arvin Mirshahi, Ali Khanipour-Kencha, Marie Bakitas, J. Nicholas Odom, Rachel Wells, Arpi Manookian

“…The one-on-one semi-structured interviews will explore three main areas: (1) the primary needs and challenges faced by individuals with heart failure and their family caregivers, (2) the extent of patients’ involvement in healthcare decision-making, and (3) participants’ preferences for content and delivery method of ENABLE. …”
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An endoscopic ultrasound-based interpretable deep learning model and nomogram for distinguishing pancreatic neuroendocrine tumors from pancreatic cancer by Nan Yi, Shuangyang Mo, Yan Zhang, Qi Jiang, Yingwei Wang, Cheng Huang, Shanyu Qin, Haixing Jiang

“…These methodologies contributed substantial net benefits to clinical decision-making processes. A novel interpretable DL model and nomogram were developed and validated using EUS images, cooperating with machine learning algorithms. …”
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Diagnostic impact of DNA methylation classification in adult and pediatric CNS tumors by Laetitia Lebrun, Nathalie Gilis, Manon Dausort, Chloé Gillard, Stefan Rusu, Karim Slimani, Olivier De Witte, Fabienne Escande, Florence Lefranc, Nicky D’Haene, Claude Alain Maurage, Isabelle Salmon

“…DNA methylation classification has emerged as a powerful machine learning approach for clinical decision-making in CNS tumors. The aim of this study is to share our experience using DNA methylation classification in daily routine practice, illustrated through clinical cases. …”
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