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 …
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 …
Bias and inconsistency in the estimation of tumour mutation burden
MA Makrooni, B O'Sullivan, C Seoighe - BMC cancer, 2022 - Springer
Background Tumour mutation burden (TMB), defined as the number of somatic mutations
per megabase within the sequenced region in the tumour sample, has been used as a …
per megabase within the sequenced region in the tumour sample, has been used as a …
Mutational signatures and increased retrotransposon insertions in xeroderma pigmentosum variant skin tumors
C Corradi, JB Vilar, VC Buzatto, TA de Souza… - …, 2023 - academic.oup.com
Xeroderma pigmentosum variant (XP-V) is an autosomal recessive disease with an
increased risk of developing cutaneous neoplasms in sunlight-exposed regions. These cells …
increased risk of developing cutaneous neoplasms in sunlight-exposed regions. These cells …
Increased diagnostic yield from negative whole genome‐slice panels using automated reanalysis
We evaluated the diagnostic yield using genome‐slice panel reanalysis in the clinical
setting using an automated phenotype/gene ranking system. We analyzed whole genome …
setting using an automated phenotype/gene ranking system. We analyzed whole genome …
Machine Learning Applications in 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 …
Restriction site associated DNA sequencing for tumour mutation burden estimation and mutation signature analysis
CF McGuinness, MA Black, AK Dunbier - Cancer Medicine, 2023 - Wiley Online Library
Background Genome‐wide measures of genetic disruption such as tumour mutation burden
(TMB) and mutation signatures are emerging as useful biomarkers to stratify patients for …
(TMB) and mutation signatures are emerging as useful biomarkers to stratify patients for …
Northwestern University resource and education development initiatives to advance collaborative artificial intelligence across the learning health system
Introduction The rapid development of artificial intelligence (AI) in healthcare has exposed
the unmet need for growing a multidisciplinary workforce that can collaborate effectively in …
the unmet need for growing a multidisciplinary workforce that can collaborate effectively in …
Challenges and Future Directions in the Management of Tumor Mutational Burden-High (TMB-H) Advanced Solid Malignancies
Simple Summary When employing a high tumor mutational burden (TMB) as a predictive
biomarker for immune checkpoint inhibitor (ICI) response, one faces various challenges. It is …
biomarker for immune checkpoint inhibitor (ICI) response, one faces various challenges. It is …
Tumor Mutation Burden as a Cornerstone in Precision Oncology Landscapes: Effect of Panel Size and Uncertainty in Cutoffs
Tumor mutation burden (TMB) has profound implications for personalized cancer therapy,
particularly immunotherapy. However, the size of the panel and the cutoff values for an …
particularly immunotherapy. However, the size of the panel and the cutoff values for an …