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Accurate and timely diagnosis of t(9;22)-positive leukemias is vital to improving survival in pediatric patients. In low-resource settings, where healthcare disparities are exacerbated by limited resources, cost-effective and efficient diagnostic methods are essential for bridging these gaps and ensuring better outcomes. Among the diagnostic tools evaluated among 23 patients sample, RT-PCR demonstrated superior sensitivity (100%) and the shortest turnaround time (7 days), significantly outperforming FISH and karyotyping in both accuracy and timeliness.

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Objectives: To incorporate a longitudinal palliative care curriculum into obstetrics and gynecology (Ob-Gyn) residency that could become standardized to ensure competencies in providing end of life (EOL) care.

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Department of Theology and Religious Education, College of Liberal Arts, Manila, Philippines.

Teaching death, spirituality, and palliative care equips students with critical skills and perspectives for holistic patient care. This interdisciplinary approach fosters empathy, resilience, and personal growth while enhancing competence in end-of-life care. Using experiential methods like simulations and real patient interactions, educators bridge theory and practice.

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Objectives: Explore humanitarian healthcare professionals' (HCPs) perceptions about implementing children's palliative care and to identify their educational needs and challenges, including learning topics, training methods, and barriers to education.

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scMMAE: masked cross-attention network for single-cell multimodal omics fusion to enhance unimodal omics.

Brief Bioinform

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Guangdong Provincial Key Laboratory of Mathematical and Neural Dynamical Systems, Great Bay University, No. 16 Daxue Rd, Songshanhu District, Dongguan, Guangdong, 523000, China.

Multimodal omics provide deeper insight into the biological processes and cellular functions, especially transcriptomics and proteomics. Computational methods have been proposed for the integration of single-cell multimodal omics of transcriptomics and proteomics. However, existing methods primarily concentrate on the alignment of different omics, overlooking the unique information inherent in each omics type.

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