A noninvasive machine learning model using a complete blood count for screening of primary vitreoretinal lymphoma.
This study addresses the challenge of early detection in primary vitreoretinal lymphoma (PVRL), a rare and aggressive in...
Enabling whole genome sequencing analysis from FFPE specimens in clinical oncology.
- Post category:Hematologic Cancers
- Reading time:1 min read
This study addresses the challenges of using whole genome sequencing (WGS) on formalin-fixed paraffin-embedded (FFPE) sa...
Burden of haematological malignancies among children, adolescents and young adults: Global and high-income region insights from the GBD 2021 study.
- Post category:Hematologic Cancers
- Reading time:1 min read
This study presents a comprehensive global analysis of haematological malignancies in individuals aged 0-24 years, using...
Optimizing lower intensity triplet therapy in acute myeloid leukemia: a practical guide.
- Post category:Hematologic Cancers
- Reading time:1 min read
This publication reviews the emerging use of frontline triplet therapies combining venetoclax-based doublets (azacitidin...
Sustained survival benefit of emicizumab and postponed immunosuppression in acquired hemophilia A.
- Post category:Hematologic Cancers
- Reading time:1 min read
This study evaluates the use of emicizumab in managing acquired hemophilia A (AHA), a serious bleeding disorder due to a...
From pretraining to privacy: federated ultrasound foundation model with self-supervised learning.
- Post category:Hematologic Cancers
- Reading time:1 min read
This study introduces UltraFedFM, a privacy-preserving ultrasound foundation model developed via federated learning acro...