Deep learning in cancer diagnosis, prognosis and treatment selection
Deep learning is a subdiscipline of artificial intelligence that uses a machine learning
technique called artificial neural networks to extract patterns and make predictions from …
technique called artificial neural networks to extract patterns and make predictions from …
Artificial intelligence-assisted diagnostic cytology and genomic testing for hematologic disorders
L Gedefaw, CF Liu, RKL Ip, HF Tse, MHY Yeung… - Cells, 2023 - mdpi.com
Artificial intelligence (AI) is a rapidly evolving field of computer science that involves the
development of computational programs that can mimic human intelligence. In particular …
development of computational programs that can mimic human intelligence. In particular …
Machine learning for genetics-based classification and treatment response prediction in cancer of unknown primary
Cancer of unknown primary (CUP) is a type of cancer that cannot be traced back to its
primary site and accounts for 3–5% of all cancers. Established targeted therapies are …
primary site and accounts for 3–5% of all cancers. Established targeted therapies are …
AI-based pathology predicts origins for cancers of unknown primary
Cancer of unknown primary (CUP) origin is an enigmatic group of diagnoses in which the
primary anatomical site of tumour origin cannot be determined,. This poses a considerable …
primary anatomical site of tumour origin cannot be determined,. This poses a considerable …
A cross-cohort computational framework to trace tumor tissue-of-origin based on RNA sequencing
B He, H Sun, M Bao, H Li, J He, G Tian, B Wang - Scientific reports, 2023 - nature.com
Carcinoma of unknown primary (CUP) is a type of metastatic cancer with tissue-of-origin
(TOO) unidentifiable by traditional methods. CUP patients typically have poor prognosis but …
(TOO) unidentifiable by traditional methods. CUP patients typically have poor prognosis but …
[HTML][HTML] Artificial intelligence in pharmaceutical sciences
Drug discovery and development affects various aspects of human health and dramatically
impacts the pharmaceutical market. However, investments in a new drug often go …
impacts the pharmaceutical market. However, investments in a new drug often go …
Comprehensive genomic and epigenomic analysis in cancer of unknown primary guides molecularly-informed therapies despite heterogeneity
L Möhrmann, M Werner, M Oleś, A Mock… - Nature …, 2022 - nature.com
The benefit of molecularly-informed therapies in cancer of unknown primary (CUP) is
unclear. Here, we use comprehensive molecular characterization by whole genome/exome …
unclear. Here, we use comprehensive molecular characterization by whole genome/exome …
DNA methylation profiling to determine the primary sites of metastatic cancers using formalin-fixed paraffin-embedded tissues
S Zhang, S He, X Zhu, Y Wang, Q Xie, X Song… - Nature …, 2023 - nature.com
Identifying the primary site of metastatic cancer is critical to guiding the subsequent
treatment. Approximately 3–9% of metastatic patients are diagnosed with cancer of unknown …
treatment. Approximately 3–9% of metastatic patients are diagnosed with cancer of unknown …
Machine learning-based tissue of origin classification for cancer of unknown primary diagnostics using genome-wide mutation features
Cancers of unknown primary (CUP) origin account for∼ 3% of all cancer diagnoses,
whereby the tumor tissue of origin (TOO) cannot be determined. Using a uniformly …
whereby the tumor tissue of origin (TOO) cannot be determined. Using a uniformly …
Precision cancer medicine: Concepts, current practice, and future developments
A Edsjö, L Holmquist, B Geoerger… - Journal of Internal …, 2023 - Wiley Online Library
Precision cancer medicine is a multidisciplinary team effort that requires involvement and
commitment of many stakeholders including the society at large. Building on the success of …
commitment of many stakeholders including the society at large. Building on the success of …