[HTML][HTML] Ethical considerations for precision psychiatry: a roadmap for research and clinical practice
P Fusar-Poli, M Manchia, N Koutsouleris… - European …, 2022 - Elsevier
Precision psychiatry is an emerging field with transformative opportunities for mental health.
However, the use of clinical prediction models carries unprecedented ethical challenges …
However, the use of clinical prediction models carries unprecedented ethical challenges …
[HTML][HTML] Artificial intelligence and machine learning in pharmacological research: bridging the gap between data and drug discovery
Artificial intelligence (AI) has transformed pharmacological research through machine
learning, deep learning, and natural language processing. These advancements have …
learning, deep learning, and natural language processing. These advancements have …
Machine learning approaches for biomolecular, biophysical, and biomaterials research
CA Rickert, O Lieleg - Biophysics Reviews, 2022 - pubs.aip.org
A fluent conversation with a virtual assistant, person-tailored news feeds, and deep-fake
images created within seconds—all those things that have been unthinkable for a long time …
images created within seconds—all those things that have been unthinkable for a long time …
[HTML][HTML] In silico model of atherosclerosis with individual patient calibration to enable precision medicine for cardiovascular disease
AJ Buckler, D Marlevi, NT Skenteris… - Computers in Biology …, 2023 - Elsevier
Objective Guidance for preventing myocardial infarction and ischemic stroke by tailoring
treatment for individual patients with atherosclerosis is an unmet need. Such development …
treatment for individual patients with atherosclerosis is an unmet need. Such development …
AI identifies potent inducers of breast cancer stem cell differentiation based on adversarial learning from gene expression data
Cancer stem cells (CSCs) are a subpopulation of cancer cells within tumors that exhibit stem-
like properties and represent a potentially effective therapeutic target toward long-term …
like properties and represent a potentially effective therapeutic target toward long-term …
Systems and methods for clinical decision support for lipid-lowering therapies for cardiovascular disease
AJ Buckler, U Hedin, L Matic, M Phillips - US Patent 11,887,734, 2024 - Google Patents
US11887734B2 - Systems and methods for clinical decision support for lipid-lowering therapies
for cardiovascular disease - Google Patents US11887734B2 - Systems and methods for clinical …
for cardiovascular disease - Google Patents US11887734B2 - Systems and methods for clinical …
Non-invasive determination of likely response to combination therapies for cardiovascular disease
AJ Buckler, U Hedin, L Matic, M Phillips - US Patent 11,869,186, 2024 - Google Patents
LOGFVTREOLYCPF-KXNHARMFSA-N (2s, 3r)-2-[[(2r)-1-[(2s)-2, 6-diaminohexanoyl]
pyrrolidine-2-carbonyl] amino]-3-hydroxybutanoic acid Chemical compound C [C …
pyrrolidine-2-carbonyl] amino]-3-hydroxybutanoic acid Chemical compound C [C …
Non-invasive determination of likely response to anti-diabetic therapies for cardiovascular disease
AJ Buckler, U Hedin, L Matic, M Phillips - US Patent 11,887,713, 2024 - Google Patents
US11887713B2 - Non-invasive determination of likely response to anti-diabetic therapies for
cardiovascular disease - Google Patents US11887713B2 - Non-invasive determination of …
cardiovascular disease - Google Patents US11887713B2 - Non-invasive determination of …
Non-invasive determination of likely response to anti-inflammatory therapies for cardiovascular disease
AJ Buckler, U Hedin, L Matic, M Phillips - US Patent 11,887,701, 2024 - Google Patents
US11887701B2 - Non-invasive determination of likely response to anti-inflammatory
therapies for cardiovascular disease - Google Patents US11887701B2 - Non-invasive …
therapies for cardiovascular disease - Google Patents US11887701B2 - Non-invasive …