Publications by authors named "Touran Fardeen"
Article Synopsis
- Researchers investigated how to improve serious illness conversations between clinicians and cancer patients at high risk of short-term mortality by using a machine learning model and trained care coaches.
- In a study involving oncologists, patients with less than two years of predicted survival were prioritized for discussions, and automated reminders were sent to providers to document prognosis.
- Results showed a significant increase in both prognosis and advance care planning documentation in visits where the intervention was applied compared to control visits, highlighting the effectiveness of the approach.
Artificial intelligence and machine learning technologies in ulcerative colitis.
Therap Adv Gastroenterol
September 2024
Interest in artificial intelligence (AI) applications for ulcerative colitis (UC) has grown tremendously in recent years. In the past 5 years, there have been over 80 studies focused on machine learning (ML) tools to address a wide range of clinical problems in UC, including diagnosis, prognosis, identification of new UC biomarkers, monitoring of disease activity, and prediction of complications. AI classifiers such as random forest, support vector machines, neural networks, and logistic regression models have been used to model UC clinical outcomes using molecular (transcriptomic) and clinical (electronic health record and laboratory) datasets with relatively high performance (accuracy, sensitivity, and specificity).
View Article and Find Full Text PDFDiet is intimately linked to the gastrointestinal (GI) tract and has potent effects on intestinal immune homeostasis. Inflammatory bowel disease (IBD) is characterized by chronic inflammation of the GI tract. The therapeutic implications of diet in patients with IBD have received significant attention in recent years.
View Article and Find Full Text PDFPurpose: Patients with metastatic cancer benefit from advance care planning (ACP) conversations. We aimed to improve ACP using a computer model to select high-risk patients, with shorter predicted survival, for conversations with providers and lay care coaches. Outcomes included ACP documentation frequency and end-of-life quality measures.
View Article and Find Full Text PDFBackground: Patient reported outcomes (PROs) have been associated with improved symptom management and quality of life in patients with cancer. However, the implementation of PROs in an academic clinical practice has not been thoroughly described. Here we report on the execution, feasibility and healthcare utilization outcomes of an electronic PRO (ePRO) application for cancer patients at an academic medical center.
View Article and Find Full Text PDFObjective/hypothesis: Despite the importance of symptom management and end-of-life (EOL) care in head and neck cancers (HNC), there is little literature on care practices in this population. This study examines EOL care practice patterns using nationally established metrics.
Study Design: Retrospective chart review.
Article Synopsis
- Patients with primary sclerosing cholangitis (PSC) are at higher risk of acute cholangitis, especially given their common use of immunosuppressive medications and comorbid inflammatory bowel disease.
- A study involving 228 PSC patients found that 31% experienced acute cholangitis, with anti-TNF therapy increasing the risk and immunomodulator therapy offering protection against it.
- The results indicate that different types of immunosuppressive medications affect the likelihood and timing of developing acute cholangitis, highlighting the importance of careful medication management in PSC patients.
Article Synopsis
- The study investigates how patients with cancer, their caregivers, and healthcare professionals perceive the time spent on cancer treatment and its impact on health-related quality of life (HRQoL).
- Through semi-structured interviews with 29 participants, researchers identified a distinction between "existential time" (remaining life) and "chronological time" (time spent managing treatment).
- Findings reveal that the time invested in cancer care can lead to significant distress and negatively affect patients' and caregivers' ability to engage in meaningful daily activities, highlighting the need for further research and better communication among stakeholders.