Alectinib resistance in ALK+ NSCLC depends on treatment sequence and EML4‐ALK variants. Variant 1 exhibited off‐target resistance after first‐line treatment, while variant 3 and later lines favored on‐target mutations. Early resistance involved off‐target alterations, like MET and NF2, while on‐target mutations emerged with prolonged therapy.
Jie Hu+11 more
wiley +1 more source
Intelligent Clinical Documentation: Harnessing Generative AI for Patient-Centric Clinical Note Generation [PDF]
Comprehensive clinical documentation is crucial for effective healthcare delivery, yet it poses a significant burden on healthcare professionals, leading to burnout, increased medical errors, and compromised patient safety. This paper explores the potential of generative AI (Artificial Intelligence) to streamline the clinical documentation process ...
arxiv +1 more source
Combining Planning, Reasoning and Reinforcement Learning to solve Industrial Robot Tasks [PDF]
One of today's goals for industrial robot systems is to allow fast and easy provisioning for new tasks. Skill-based systems that use planning and knowledge representation have long been one possible answer to this. However, especially with contact-rich robot tasks that need careful parameter settings, such reasoning techniques can fall short if the ...
arxiv
This study used longitudinal transcriptomics and gene‐pattern classification to uncover patient‐specific mechanisms of chemotherapy resistance in breast cancer. Findings reveal preexisting drug‐tolerant states in primary tumors and diverse gene rewiring patterns across patients, converging on a few dysregulated functional modules. Despite receiving the
Maya Dadiani+14 more
wiley +1 more source
Advance care planning for cancer patients: A systematic review of perceptions and experiences of patients, families and healthcare providers [PDF]
Background Patients with advanced cancer may benefit from end of life (EOL) planning, but there is evidence that their willingness and desire to engage in advance care planning (ACP) varies. The reasons for this remain poorly understood.
Almack+58 more
core +1 more source
Toward an Understanding of Advance Care Planning in Children With Medical Complexity
CMC have life-limiting conditions; however, little is known about the experiences of ACP with this group of children. BACKGROUND AND OBJECTIVES: Children with medical complexity (CMC) often have multiple life-limiting conditions with no unifying ...
J. Orkin+9 more
semanticscholar +1 more source
This study develops a semi‐supervised classifier integrating multi‐genomic data (1404 training/5893 validation samples) to improve homologous recombination deficiency (HRD) detection in breast cancer. Our method demonstrates prognostic value and predicts chemotherapy/PARP inhibitor sensitivity in HRD+ tumours.
Rong Zhu+12 more
wiley +1 more source
Length of Stay prediction for Hospital Management using Domain Adaptation [PDF]
Inpatient length of stay (LoS) is an important managerial metric which if known in advance can be used to efficiently plan admissions, allocate resources and improve care. Using historical patient data and machine learning techniques, LoS prediction models can be developed.
arxiv
End of life care: The experiences of advance care planning amongst family caregivers of people with advanced dementia - A qualitative study [PDF]
Background: End of life decisions for people with advanced dementia are reported as often being difficult for families as they attempt to make appropriate and justified decisions.
Addicott R.+28 more
core +1 more source
Measuring Advance Care Planning: Optimizing the Advance Care Planning Engagement Survey [PDF]
A validated 82-item Advance Care Planning (ACP) Engagement Survey measures a broad range of behaviors. However, concise surveys are needed.The objective of this study was to validate shorter versions of the survey.The survey included 57 process (e.g., readiness) and 25 action items (e.g., discussions).
Deborah E. Barnes+8 more
openaire +4 more sources