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A review on machine learning approaches and trends in drug discovery.

Drug discovery aims at finding new compounds with specific chemical properties for the treatment of diseases. In the last years, the approach used in this search presents an important component in computer science with the skyrocketing of machine learning techniques due to its democratization. With the objectives set by the Precision Medicine initiative and the new challenges generated, it is necessary to establish robust, standard and reproducible computational methodologies to achieve the objectives set. Currently, predictive models based on Machine Learning have gained great importance in t

Proceedings of the CIMAGO Congress - Environment, Genetics and Oncobiology in the 21st Century - Challenges and Opportunities.

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5-Hydroxymethylcytosine modifications in circulating cell-free DNA: frontiers of cancer detection, monitoring, and prognostic evaluation.

Developing accurate, clinically convenient, and non-invasive methods for early cancer detection, monitoring, and prognosis assessment is essential for improving patient survival rates, enhancing quality of life, and reducing the socioeconomic burden associated with cancer. This goal is critical in precision oncology. Genetic and epigenetic alterations in circulating cell-free DNA (cfDNA) have emerged as transformative tools for advancing early cancer detection, monitoring, and improving patient outcomes. Among these, 5-hydroxymethylcytosine (5hmC) modifications in circulating cfDNA stand out a

Palliative care follow-up for cancer patients combining day-hospital visits and telemedicine: What feasibility?

BackgroundDue to the increasing life expectancy of patients with cancer, palliative care services are increasingly solicited to provide follow-up for individuals living at home. The implementation of teleconsultations represents a potential solution to extend access to palliative care follow-up to a larger number of patients. The aim of this study is to demonstrate the a priori acceptance of teleconsultations among all patients admitted to palliative care, as well as the feasibility of their implementation. We therefore initially explored whether a specific patient profile might limit acceptan

A Multi-step Approach to Adapting a Mind-Body Resiliency Intervention for Fear of Cancer Recurrence and Uncertainty in Survivorship (IN FOCUS).

BackgroundFor cancer survivors, there is a paucity of fear of recurrence (FOR) interventions that integrate empirically supported mind-body and psychological skills for managing FOR and are delivered in scalable formats.ObjectiveTo adapt an evidence-based resiliency intervention to address FOR among cancer survivors.MethodsA multidisciplinary team of researchers, clinicians, and patient stakeholders followed an iterative intervention adaptation process (ORBIT). In Step 1, we sought to define key FOR management skills through a literature review and feedback from stakeholders. In Step 2, we int

Society for Immunotherapy of Cancer clinical and biomarkers data sharing resource document: Volume I-conceptual challenges.

The sharing of clinical trial data and biomarker data sets among the scientific community, whether the data originates from pharmaceutical companies or academic institutions, is of critical importance to enable the development of new and improved cancer immunotherapy modalities. Through data sharing, a better understanding of current therapies in terms of their efficacy, safety and biomarker data profiles can be achieved. However, the sharing of these data sets involves a number of stakeholder groups including patients, researchers, private industry, scientific journals and professional societ

Abstracts of the Cell Therapy Transplant Canada 2024 Annual Conference.

On behalf of Cell Therapy Transplant Canada (CTTC), we are pleased to present the Abstracts of the CTTC 2024 Annual Conference. The conference was held on 1-3 May 2024 in beautiful Victoria, British Columbia, at the Victoria Conference Centre, and attracted 293 in-person delegates and five virtual attendees. Several plenary sessions were held on topics such as gene therapy for hemoglobin disorders, optimizing donor selection, graft-versus-host disease (GvHD) strategies, collaborative care, survivorship, graft failure, and CAR-T therapy. Poster authors presented their work during a lively and e

What matters most to patients with multiple myeloma? A Pan-European patient preference study.

INTRODUCTION: Given the rapid increase in novel treatments for patients with multiple myeloma (MM), this patient preference study aimed to establish which treatment attributes matter most to MM patients and evaluate discrete choice experiment (DCE) and swing weighting (SW) as two elicitation methods for quantifying patients' preferences. METHODS: A survey incorporating DCE and SW was disseminated among European MM patients. The survey included attributes and levels informed by a previous qualitative study with 24 MM patients. Latent class and mixed logit models were used to estimate the DCE a

ROS 2020 Abstract

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Mass Spectrometry Approaches for Identification and Quantitation of Therapeutic Monoclonal Antibodies in the Clinical Laboratory.

Therapeutic monoclonal antibodies (MAbs) are an important class of drugs used to treat diseases ranging from autoimmune disorders to B cell lymphomas to other rare conditions thought to be untreatable in the past. Many advances have been made in the characterization of immunoglobulins as a result of pharmaceutical companies investing in technologies that allow them to better understand MAbs during the development phase. Mass spectrometry is one of the new advancements utilized extensively by pharma to analyze MAbs and is now beginning to be applied in the clinical laboratory setting. The rise

Effects of nurse-led symptom management in chronic myeloid malignancies: a randomized trial.

PurposeChronic hematological malignancies progress slowly, potentially manifesting symptoms spanning months to years. HM-PRO is developed as a comprehensive clinical tool for assessing symptoms in hematology. The aim was to investigate the effect of a nurse-led systematic approach to symptom identification and management using HM-PRO in outpatient care in patients with chronic hematological malignancies.MethodsThis is a randomized trial including 94 patients to investigate an intervention comprising (1) HM-PRO data collection, (2) HM-PRO assessment guided by an algorithm, and (3) nurse-led tai

The 48th Annual Meeting of the European Society for Blood and Marrow Transplantation: Nurses Group - Poster Sessions (NP001 - NP054).

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Pricing, price revision, and clinical value of anticancer drugs in Japan: a retrospective observational study.

IntroductionThe high cost of anticancer drugs has raised concerns due to the financial burden on patients and pressure on healthcare systems. We examine the relation between pricing premiums, price revision, and clinical value for anticancer drugs approved in Japan.MethodsWe included anticancer drugs approved in Japan from 2013 to 2023. Differences in clinical value, as measured by the European Society for Medical Oncology Magnitude of Clinical Benefit Scale (ESMO-MCBS), among drugs receiving different premium proportions, were analyzed using the Mann-Whitney U test. Pearson correlation coeffi

Mobile Application to Promote Adherence to Oral Chemotherapy and Symptom Management: A Protocol for Design and Development.

BackgroundOral chemotherapy is increasingly used in place of traditional intravenous chemotherapy to treat patients with cancer. While oral chemotherapy includes benefits such as ease of administration, convenience, and minimization of invasive infusions, patients receive less oversight, support, and symptom monitoring from clinicians. Additionally, adherence is a well-documented challenge for patients with cancer prescribed oral chemotherapy regimens. With the ever-growing presence of smartphones and potential for efficacious behavioral intervention technology, we created a mobile health inte

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… Experts in behavioral intervention technology and mHealth implementation science have called for contributions to the literature that detail the development process of mHealth interventions [ 23 ]. …

Просветительская работа с пациентами с помощью массового открытого онлайнового курса (МООК) для пациентов с множественными миеломами и лиц, обеспечивающих уход: описывающее исследование знаний, проведенное Французской ассоциацией пациентов с множественными миеломами (АФ3М) и французскоязычной межгруппой " Миэлома " (МФМ).

Множественная миелома (ММ) представляет собой хроническую гематологическую халатность, характеризующуюся сложными терапевтическими стратегиями, неоднократными рецидивами и существенными информационными и психосоциальными потребностями. Достижения в области пероральной терапии и амбулаторного лечения переложили бóльшую ответственность на пациентов и лиц, обеспечивающих уход, подчеркнув необходимость наличия доступных и высококачественных образовательных ресурсов. Терапевтическое просвещение пациентов (ТПЭ) направлено на то, чтобы помочь пациентам лучше понять свое состояние и более эффективно с

Препятствия и факторы, способствующие реформированию системы здравоохранения.

ВВЕДЕНИЕ: Системы здравоохранения во всем мире сталкиваются с растущим давлением, обусловленным растущим бременем неинфекционных заболеваний и старением населения, а также хронической нехваткой рабочей силы, инфраструктурными ограничениями и структурными дисгармониями между моделями ухода, предназначенными для лечения острых заболеваний, и долгосрочными потребностями сложных пациентов. Многие страны предпринимают комплексные усилия по преобразованию, включая перенос ухода ближе к дому, улучшение раннего выявления заболеваний и решение проблем, связанных с рабочей силой. Цель этого исследования

Cancer evolution: mathematical models and computational inference.

Cancer is a somatic evolutionary process characterized by the accumulation of mutations, which contribute to tumor growth, clinical progression, immune escape, and drug resistance development. Evolutionary theory can be used to analyze the dynamics of tumor cell populations and to make inference about the evolutionary history of a tumor from molecular data. We review recent approaches to modeling the evolution of cancer, including population dynamics models of tumor initiation and progression, phylogenetic methods to model the evolutionary relationship between tumor subclones, and probabilisti

Резюме докладов 51st Конференция Европейского общества генетики человека: плакаты

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Dynamic Prediction of Survival Outcomes in Multiple Myeloma.

Background: Multiple myeloma (MM) remains an incurable plasma cell malignancy characterized by marked clinical heterogeneity. Existing prognostic frameworks, including the International Staging System (ISS) and FISH-defined cytogenetic risk, are anchored at diagnosis and do not capture the evolutionary dynamics of disease or treatment response, leaving an unmet need for risk models that retain prognostic validity longitudinally. Methods: Using transcriptomic data from 762 CD138-selected MM plasma cells from newly diagnosed patient samples in the MMRF CoMMpass study (NCT01454297), we computed s

Clinical Associations with Hospital Escalation Among COVID-19 Patients Receiving Remdesivir in a Hospital-at-Home Service: A Real-World Cohort Study.

Background/Objectives: Hospital-at-home (HaH) programs expanded hospital capacity during the COVID-19 pandemic, but data on which HaH patients receiving intravenous (IV) remdesivir may require hospital escalation is limited. We therefore aimed to explore clinical characteristics associated with escalation to inpatient care. Methods: Single-center, retrospective cohort of adults with confirmed COVID-19 who received IV remdesivir via a HaH service was employed (September 2020-September 2024). Primary outcome was hospital escalation. Associations between baseline variables and escalation were ass