Machine learning in medicine
Machine Learning in Medicine In this view of the future of medicine, patient–provider
interactions are informed and supported by massive amounts of data from interactions with …
interactions are informed and supported by massive amounts of data from interactions with …
Clonal expansion in non-cancer tissues
N Kakiuchi, S Ogawa - Nature Reviews Cancer, 2021 - nature.com
Cancer is a clonal disorder derived from a single ancestor cell and its progenies that are
positively selected by acquisition of 'driver mutations'. However, the evolution of positively …
positively selected by acquisition of 'driver mutations'. However, the evolution of positively …
On the opportunities and risks of foundation models
AI is undergoing a paradigm shift with the rise of models (eg, BERT, DALL-E, GPT-3) that are
trained on broad data at scale and are adaptable to a wide range of downstream tasks. We …
trained on broad data at scale and are adaptable to a wide range of downstream tasks. We …
Life histories of myeloproliferative neoplasms inferred from phylogenies
N Williams, J Lee, E Mitchell, L Moore, EJ Baxter… - Nature, 2022 - nature.com
Mutations in cancer-associated genes drive tumour outgrowth, but our knowledge of the
timing of driver mutations and subsequent clonal dynamics is limited,–. Here, using whole …
timing of driver mutations and subsequent clonal dynamics is limited,–. Here, using whole …
Cancer therapy shapes the fitness landscape of clonal hematopoiesis
Acquired mutations are pervasive across normal tissues. However, understanding of the
processes that drive transformation of certain clones to cancer is limited. Here we study this …
processes that drive transformation of certain clones to cancer is limited. Here we study this …
Genomic profiling for clinical decision making in myeloid neoplasms and acute leukemia
EJ Duncavage, A Bagg, RP Hasserjian… - Blood, The Journal …, 2022 - ashpublications.org
Myeloid neoplasms and acute leukemias derive from the clonal expansion of hematopoietic
cells driven by somatic gene mutations. Although assessment of morphology plays a crucial …
cells driven by somatic gene mutations. Although assessment of morphology plays a crucial …
Implications of TP53 allelic state for genome stability, clinical presentation and outcomes in myelodysplastic syndromes
Abstract Tumor protein p53 (TP53) is the most frequently mutated gene in cancer,. In
patients with myelodysplastic syndromes (MDS), TP53 mutations are associated with high …
patients with myelodysplastic syndromes (MDS), TP53 mutations are associated with high …
Classification and personalized prognostic assessment on the basis of clinical and genomic features in myelodysplastic syndromes
M Bersanelli, E Travaglino, M Meggendorfer… - Journal of Clinical …, 2021 - ascopubs.org
PURPOSE Recurrently mutated genes and chromosomal abnormalities have been
identified in myelodysplastic syndromes (MDS). We aim to integrate these genomic features …
identified in myelodysplastic syndromes (MDS). We aim to integrate these genomic features …
Genetics of MDS
S Ogawa - Blood, The Journal of the American Society of …, 2019 - ashpublications.org
Our knowledge about the genetics of myelodysplastic syndromes (MDS) and related
myeloid disorders has been dramatically improved during the past decade, in which …
myeloid disorders has been dramatically improved during the past decade, in which …
[HTML][HTML] Reconstructing the lineage histories and differentiation trajectories of individual cancer cells in myeloproliferative neoplasms
Some cancers originate from a single mutation event in a single cell. Blood cancers known
as myeloproliferative neoplasms (MPNs) are thought to originate when a driver mutation is …
as myeloproliferative neoplasms (MPNs) are thought to originate when a driver mutation is …