Machine learning for lung cancer diagnosis, treatment, and prognosis
The recent development of imaging and sequencing technologies enables systematic
advances in the clinical study of lung cancer. Meanwhile, the human mind is limited in …
advances in the clinical study of lung cancer. Meanwhile, the human mind is limited in …
[HTML][HTML] Informing immunotherapy with multi-omics driven machine learning
Progress in sequencing technologies and clinical experiments has revolutionized
immunotherapy on solid and hematologic malignancies. However, the benefits of …
immunotherapy on solid and hematologic malignancies. However, the benefits of …
Immortalized bovine satellite cells for cultured meat applications
AJ Stout, MJ Arnett, K Chai, T Guo, L Liao… - ACS synthetic …, 2023 - ACS Publications
For cultured meat to succeed at scale, muscle cells from food-relevant species must be
expanded in vitro in a rapid and reliable manner to produce millions of metric tons of …
expanded in vitro in a rapid and reliable manner to produce millions of metric tons of …
[HTML][HTML] Oncogenic viruses as entropic drivers of cancer evolution
I Tempera, PM Lieberman - Frontiers in virology, 2021 - frontiersin.org
Viral infection is an indisputable causal factor for nearly 17% of all human cancers.
However, the diversity and complexity of oncogenic mechanisms raises new questions as to …
However, the diversity and complexity of oncogenic mechanisms raises new questions as to …
Pervasive lesion segregation shapes cancer genome evolution
Cancers arise through the acquisition of oncogenic mutations and grow by clonal
expansion,. Here we reveal that most mutagenic DNA lesions are not resolved into a …
expansion,. Here we reveal that most mutagenic DNA lesions are not resolved into a …
[HTML][HTML] Deciphering the tumor immune microenvironment from a multidimensional omics perspective: insight into next-generation CAR-T cell immunotherapy and …
Z Zhou, J Wang, J Wang, S Yang, R Wang, G Zhang… - Molecular Cancer, 2024 - Springer
Tumor immune microenvironment (TIME) consists of intra-tumor immunological components
and plays a significant role in tumor initiation, progression, metastasis, and response to …
and plays a significant role in tumor initiation, progression, metastasis, and response to …
Performance‐weighted‐voting model: An ensemble machine learning method for cancer type classification using whole‐exome sequencing mutation
Background With improvements in next‐generation DNA sequencing technology, lower cost
is needed to collect genetic data. More machine learning techniques can be used to help …
is needed to collect genetic data. More machine learning techniques can be used to help …
Cancer progression: a single cell perspective
Tumor tissues are constituted by a dynamic diversity of malignant and non-malignant cells,
which shape a puzzling biological ecosystem affecting cancer biology and response to …
which shape a puzzling biological ecosystem affecting cancer biology and response to …
Imposed mutational meltdown as an antiviral strategy
Following widespread infections of the most recent coronavirus known to infect humans,
SARS-CoV-2, attention has turned to potential therapeutic options. With no drug or vaccine …
SARS-CoV-2, attention has turned to potential therapeutic options. With no drug or vaccine …
[HTML][HTML] Applications of Machine Learning (ML) and Mathematical Modeling (MM) in Healthcare with Special Focus on Cancer Prognosis and Anticancer Therapy …
The use of data-driven high-throughput analytical techniques, which has given rise to
computational oncology, is undisputed. The widespread use of machine learning (ML) and …
computational oncology, is undisputed. The widespread use of machine learning (ML) and …