Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T19:14:36.504382Z
Paper Citation Record · LEDGER
Advancing clinical trial outcomes using deep learning and predictive modelling: bridging precision medicine and patient-centered care
As of 19 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2412.07050.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
56 of 56 outbound references displayed
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- verified fuzzy37
- unresolved6
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation b0abd45d-d53a-4a9c-a45e-20810b9f7454 · outbound
This paper cites 2021 Global life sciences outlook.
Advancing clinical trial outcomes using deep learning and predictive modelling: bridging precision medicine and patient-centered care 2021 Global life sciences outlook
Reference 1
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 1b4f7e72-f081-4fe8-bbdd-120b31501835 · outbound
This paper cites Clinical trials: Challenges and opportunities.
Advancing clinical trial outcomes using deep learning and predictive modelling: bridging precision medicine and patient-centered care Clinical trials: Challenges and opportunities
Reference 2
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation e03fd3af-d2a5-4335-949b-cb61cc942548 · outbound
This paper cites Barriers to participation in clinical trials.
Advancing clinical trial outcomes using deep learning and predictive modelling: bridging precision medicine and patient-centered care Barriers to participation in clinical trials
Reference 3
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation b4ea5e90-c260-480d-888d-9b13027be6ba · outbound
This paper cites Epidemiology of chronic myeloid leukaemia: an update.
Advancing clinical trial outcomes using deep learning and predictive modelling: bridging precision medicine and patient-centered care Epidemiology of chronic myeloid leukaemia: an update
Reference 4
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation fb034171-e1f7-44f8-920d-c7d2db1ec886 · outbound
This paper cites The creative destruction of medicine: How the digital revolution will create better health care.
Advancing clinical trial outcomes using deep learning and predictive modelling: bridging precision medicine and patient-centered care The creative destruction of medicine: How the digital revolution will create better health care
Reference 5
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation c1e83591-1413-479a-a98a-3bfcfe658c8e · outbound
This paper cites The role of artificial intelligence in improving healthcare outcomes.
Advancing clinical trial outcomes using deep learning and predictive modelling: bridging precision medicine and patient-centered care The role of artificial intelligence in improving healthcare outcomes
Reference 6
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 769a97eb-feb5-4c46-8507-6b52fa946b84 · outbound
This paper cites The role of sustainable packaging in enhancing brand loyalty among climate-conscious consumers in fast-moving consumer goods [FMCG].
Advancing clinical trial outcomes using deep learning and predictive modelling: bridging precision medicine and patient-centered care The role of sustainable packaging in enhancing brand loyalty among climate-conscious consumers in fast-moving consumer goods [FMCG]
Reference 7
- Resolution
- verified exact
- doi, observed 2026-08-11T19:14:36.617254Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation e9033a21-4e7d-4afa-8f4c-643907694d34 · outbound
This paper cites Use of Artificial Intelligence in Improving Outcomes in Heart Disease: A Scientific Statement From the American Heart Association.
Advancing clinical trial outcomes using deep learning and predictive modelling: bridging precision medicine and patient-centered care Use of Artificial Intelligence in Improving Outcomes in Heart Disease: A Scientific Statement From the American Heart Association
Reference 8
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 70aa5f14-7e59-4244-8c65-e73d8d5010ba · outbound
This paper cites Adaptive design methods in clinical trials.
Advancing clinical trial outcomes using deep learning and predictive modelling: bridging precision medicine and patient-centered care Adaptive design methods in clinical trials
Reference 9
- Resolution
- verified exact
- doi, observed 2026-08-11T19:14:36.609315Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation c72232b1-d4d5-4814-aac4-bada734252a8 · outbound
This paper cites AI-powered chatbots in clinical trials: A systematic review.
Advancing clinical trial outcomes using deep learning and predictive modelling: bridging precision medicine and patient-centered care AI-powered chatbots in clinical trials: A systematic review
Reference 10
- Resolution
- verified exact
- doi, observed 2026-08-11T19:14:36.600376Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 5021f7fb-e425-4804-91e4-5e4e8d548c54 · outbound
This paper cites Patient -centred care in clinical trials.
Advancing clinical trial outcomes using deep learning and predictive modelling: bridging precision medicine and patient-centered care Patient -centred care in clinical trials
Reference 11
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 8991682a-c154-45a8-97c2-9ef30a2829c6 · outbound
This paper cites Next -generation cancer organoids.
Advancing clinical trial outcomes using deep learning and predictive modelling: bridging precision medicine and patient-centered care Next -generation cancer organoids
Reference 12
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 571d1d2c-6c7f-49ab-af8b-8e82590ce4bc · outbound
This paper cites Revolutionizing Lassa fever prevention: Cutting - edge MATLAB image processing for non-invasive disease control [Internet].
Advancing clinical trial outcomes using deep learning and predictive modelling: bridging precision medicine and patient-centered care Revolutionizing Lassa fever prevention: Cutting - edge MATLAB image processing for non-invasive disease control [Internet]
Reference 13
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 18070635-7036-4eb2-bd8f-c37d0d99a131 · outbound
This paper cites Ethical and clinical implications of AI integration in cardiovascular healthcare.
Advancing clinical trial outcomes using deep learning and predictive modelling: bridging precision medicine and patient-centered care Ethical and clinical implications of AI integration in cardiovascular healthcare
Reference 14
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation ffb215b8-a5e0-4ab4-9e18-f9d625890918 · outbound
This paper cites Attention is all you need.
Advancing clinical trial outcomes using deep learning and predictive modelling: bridging precision medicine and patient-centered care Attention is all you need
Reference 15
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation ce731155-5613-4cb9-9d60-e813c40281d7 · outbound
This paper cites Survival of patients with chronic myelocytic leukemia: comparisons of estimates from clinical trial settings and population-based cancer registries.
Advancing clinical trial outcomes using deep learning and predictive modelling: bridging precision medicine and patient-centered care Survival of patients with chronic myelocytic leukemia: comparisons of estimates from clinical trial settings and population-based cancer registries
Reference 16
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 12c4578a-ece9-4ad6-86e3-46c8b807a529 · outbound
This paper cites Predictive Analytics for Cyber Threat Intelligence in Fintech Using Big Data and Machine Learning.
Advancing clinical trial outcomes using deep learning and predictive modelling: bridging precision medicine and patient-centered care Predictive Analytics for Cyber Threat Intelligence in Fintech Using Big Data and Machine Learning
Reference 17
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 1b6790fe-c3ab-4836-b02a-25c4a12753f2 · outbound
This paper cites an unresolved cited work.
Advancing clinical trial outcomes using deep learning and predictive modelling: bridging precision medicine and patient-centered care Unresolved cited work
Reference 18
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 5754b4db-70ec-450d-a1f3-daa6313385bc · outbound
This paper cites The second machine age: Work, progress, and prosperity in a time of brilliant technologies.
Advancing clinical trial outcomes using deep learning and predictive modelling: bridging precision medicine and patient-centered care The second machine age: Work, progress, and prosperity in a time of brilliant technologies
Reference 19
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 685bcfb5-f0b3-47c2-a779-12b8d713c176 · outbound
This paper cites Novel Innovation Design for the Future of Health: Entrepreneurial Concepts for Patient Empowerment and Health Democratization.
Advancing clinical trial outcomes using deep learning and predictive modelling: bridging precision medicine and patient-centered care Novel Innovation Design for the Future of Health: Entrepreneurial Concepts for Patient Empowerment and Health Democratization
Reference 20
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 21c92584-1d36-4496-910e-ac41a5246469 · outbound
This paper cites AI in healthcare: Opportunities and barriers.
Advancing clinical trial outcomes using deep learning and predictive modelling: bridging precision medicine and patient-centered care AI in healthcare: Opportunities and barriers
Reference 21
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 82ac186f-37c4-4e4d-a2ed-9ef179c8e183 · outbound
This paper cites Radiopharmaceutical therapy in cancer: clinical advances and challenges.
Advancing clinical trial outcomes using deep learning and predictive modelling: bridging precision medicine and patient-centered care Radiopharmaceutical therapy in cancer: clinical advances and challenges
Reference 22
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation fd357d31-6487-490b-b1cf-5b7a0eedcca2 · outbound
This paper cites MIMIC -III, a freely accessible critical care database.
Advancing clinical trial outcomes using deep learning and predictive modelling: bridging precision medicine and patient-centered care MIMIC -III, a freely accessible critical care database
Reference 23
- Resolution
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Source-reported events for the cited work
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Observation 39533bf0-6503-4cab-bdc6-1befd1da0ecf · outbound
This paper cites A global reference for human genetic variation.
Advancing clinical trial outcomes using deep learning and predictive modelling: bridging precision medicine and patient-centered care A global reference for human genetic variation
Reference 24
- Resolution
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Source-reported events for the cited work
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Observation 1f56d16c-7df9-43b8-b1f3-44ab344e3187 · outbound
This paper cites Generating multi -label discrete patient records using generative adversarial networks.
Advancing clinical trial outcomes using deep learning and predictive modelling: bridging precision medicine and patient-centered care Generating multi -label discrete patient records using generative adversarial networks
Reference 25
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 8fc4b432-14bf-42e3-ba0d-efcc4c8d097c · outbound
This paper cites Data anonymization practices in clinical trials.
Advancing clinical trial outcomes using deep learning and predictive modelling: bridging precision medicine and patient-centered care Data anonymization practices in clinical trials
Reference 26
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation bd0b7af6-6020-487c-802b-dbfa61a45744 · outbound
This paper cites Visualizing data using t -SNE.
Advancing clinical trial outcomes using deep learning and predictive modelling: bridging precision medicine and patient-centered care Visualizing data using t -SNE
Reference 27
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation d5e2a044-9f2a-4dc1-b8d9-15f8e20bb085 · outbound
This paper cites Advancing Precision Healthcare: The Integration of Nanotechnology, Millimeter Wave Sensing, Laser Technology, Fibre Bragg Grating, and Deep Learning Models.
Advancing clinical trial outcomes using deep learning and predictive modelling: bridging precision medicine and patient-centered care Advancing Precision Healthcare: The Integration of Nanotechnology, Millimeter Wave Sensing, Laser Technology, Fibre Bragg Grating, and Deep Learning Models
Reference 28
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation cdb188ea-6d26-48a9-833a-fe3487f6e8e5 · outbound
This paper cites Applications of machine learning in drug discovery and development.
Advancing clinical trial outcomes using deep learning and predictive modelling: bridging precision medicine and patient-centered care Applications of machine learning in drug discovery and development
Reference 29
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation a5e5457a-2104-4ab3-84ca-f598c1f2b083 · outbound
This paper cites Sample size requirements to estimate key design parameters from external pilot randomised controlled trials: a simulation study.
Advancing clinical trial outcomes using deep learning and predictive modelling: bridging precision medicine and patient-centered care Sample size requirements to estimate key design parameters from external pilot randomised controlled trials: a simulation study
Reference 30
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 87779b7e-ed30-4a51-9863-72d421860397 · outbound
This paper cites Leveraging AI -Driven Decision Intelligence for Complex Systems Engineering.
Advancing clinical trial outcomes using deep learning and predictive modelling: bridging precision medicine and patient-centered care Leveraging AI -Driven Decision Intelligence for Complex Systems Engineering
Reference 31
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 75d7f219-46bb-457b-9ad4-5d4013702259 · outbound
This paper cites Leveraging AI and machine learning for the protection of critical national infrastructure.
Advancing clinical trial outcomes using deep learning and predictive modelling: bridging precision medicine and patient-centered care Leveraging AI and machine learning for the protection of critical national infrastructure
Reference 32
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation b488d369-e2f8-4e33-b4a3-0a78ef4e75bf · outbound
This paper cites Massive N=2 Gauge Theories at Large N.
Advancing clinical trial outcomes using deep learning and predictive modelling: bridging precision medicine and patient-centered care Massive N=2 Gauge Theories at Large N
Reference 33
- Resolution
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Source-reported events for the cited work
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Observation 8af5e162-e250-48ba-b7b6-72cb92d1c66a · outbound
This paper cites CRISPR in cancer biology and therapy.
Advancing clinical trial outcomes using deep learning and predictive modelling: bridging precision medicine and patient-centered care CRISPR in cancer biology and therapy
Reference 34
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 3decce46-4d30-472d-8a36-a539ac9bad7c · outbound
This paper cites Predictive Modelling of Loop Execution and Failure Rates in Deep Learning Systems: An Advanced MATLAB Approach https://www.doi.org/10.56726/IRJMETS61029.
Advancing clinical trial outcomes using deep learning and predictive modelling: bridging precision medicine and patient-centered care Predictive Modelling of Loop Execution and Failure Rates in Deep Learning Systems: An Advanced MATLAB Approach https://www.doi.org/10.56726/IRJMETS61029
Reference 35
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 5dd1c463-5cd4-45d7-a200-f5476a890364 · outbound
This paper cites Factors affecting success of new drug clinical trials.
Advancing clinical trial outcomes using deep learning and predictive modelling: bridging precision medicine and patient-centered care Factors affecting success of new drug clinical trials
Reference 36
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation b5ed7035-9901-4bd9-8460-f8c441077306 · outbound
This paper cites Sustainable economic growth through artificial intelligence -driven tax frameworks nexus on enhancing business efficiency and prosperity: An appraisal.
Advancing clinical trial outcomes using deep learning and predictive modelling: bridging precision medicine and patient-centered care Sustainable economic growth through artificial intelligence -driven tax frameworks nexus on enhancing business efficiency and prosperity: An appraisal
Reference 37
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation e4b455eb-8c39-473c-a106-f652393bb0cd · outbound
This paper cites Artificial intelligence to deep learning: machine intelligence approach for drug discovery.
Advancing clinical trial outcomes using deep learning and predictive modelling: bridging precision medicine and patient-centered care Artificial intelligence to deep learning: machine intelligence approach for drug discovery
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:14:37.005568Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 88fe47db-9415-4a78-bcd7-3347587dfa98 · outbound
This paper cites AI -driven anomaly detection for proactive cybersecurity and data breach prevention.
Advancing clinical trial outcomes using deep learning and predictive modelling: bridging precision medicine and patient-centered care AI -driven anomaly detection for proactive cybersecurity and data breach prevention
Reference 39
- Resolution
- verified exact
- doi, observed 2026-08-11T19:14:36.541737Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 618566c8-0ba0-4da2-916c-9481ae6ea060 · outbound
This paper cites Estimating clinical trial success rates and related parameters in oncology.
Advancing clinical trial outcomes using deep learning and predictive modelling: bridging precision medicine and patient-centered care Estimating clinical trial success rates and related parameters in oncology
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:14:36.995811Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 96d7ae69-b885-472b-8e7e-090584bac8eb · outbound
This paper cites an unresolved cited work.
Advancing clinical trial outcomes using deep learning and predictive modelling: bridging precision medicine and patient-centered care Unresolved cited work
Reference 41
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 3ddc842c-3e55-41f6-9351-bdcf94469cfc · outbound
This paper cites Cellular senescence and senolytics: the path to the clinic.
Advancing clinical trial outcomes using deep learning and predictive modelling: bridging precision medicine and patient-centered care Cellular senescence and senolytics: the path to the clinic
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:14:36.985068Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation a5c000de-202b-4958-9737-4ae7e80de5ca · outbound
This paper cites Success probability estimation with applications to clinical trials.
Advancing clinical trial outcomes using deep learning and predictive modelling: bridging precision medicine and patient-centered care Success probability estimation with applications to clinical trials
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:14:36.975682Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 0e825f03-34be-42d2-8385-ae43efd60b04 · outbound
This paper cites Harnessing digital platforms for sustainable marketing: strategies to reduce single -use plastics in consumer behaviour.
Advancing clinical trial outcomes using deep learning and predictive modelling: bridging precision medicine and patient-centered care Harnessing digital platforms for sustainable marketing: strategies to reduce single -use plastics in consumer behaviour
Reference 44
- Resolution
- verified exact
- raw_fallback, observed 2026-08-11T19:14:36.736669Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 189282ea-7af2-42ff-8ab9-86f775f27289 · outbound
This paper cites Data-to-question generation using deep learning.
Advancing clinical trial outcomes using deep learning and predictive modelling: bridging precision medicine and patient-centered care Data-to-question generation using deep learning
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:14:36.966956Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 167e0653-6729-43e3-9f04-d36df34d82c5 · outbound
This paper cites The role of artificial intelligence in improving patient outcomes and future of healthcare delivery in cardiology: a narrative review of the literature.
Advancing clinical trial outcomes using deep learning and predictive modelling: bridging precision medicine and patient-centered care The role of artificial intelligence in improving patient outcomes and future of healthcare delivery in cardiology: a narrative review of the literature
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:14:36.958530Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation fb222c09-2ac5-4895-8e96-c9e997c5a7e5 · outbound
This paper cites Can deep learning large language models be used to unravel knowledge graph creation? In: Proceedings of the International Conference on Computing, Machine Learning and Data Science.
Advancing clinical trial outcomes using deep learning and predictive modelling: bridging precision medicine and patient-centered care Can deep learning large language models be used to unravel knowledge graph creation? In: Proceedings of the International Conference on Computing, Machine Learning and Data Science
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:14:36.949371Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation a64fd659-adff-46bf-8582-3fae1254c3f7 · outbound
This paper cites A survey on deep learning in medical image analysis.
Advancing clinical trial outcomes using deep learning and predictive modelling: bridging precision medicine and patient-centered care A survey on deep learning in medical image analysis
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T19:14:36.484517Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b385a4fb-242b-460a-b803-5ab4dd54ad84 · outbound
This paper cites Artificial intelligence for clinical trial design.
Advancing clinical trial outcomes using deep learning and predictive modelling: bridging precision medicine and patient-centered care Artificial intelligence for clinical trial design
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:14:36.939986Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation e6163a01-58f3-4db4-afb6-aa72bc2cda2e · outbound
This paper cites Estimation of clinical trial success rates and related parameters.
Advancing clinical trial outcomes using deep learning and predictive modelling: bridging precision medicine and patient-centered care Estimation of clinical trial success rates and related parameters
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T19:14:36.489576Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fdf19f47-0beb-4209-9c49-33fc28c12bb6 · outbound
This paper cites In: Advances in Neural Information Processing Systems; 2017.
Advancing clinical trial outcomes using deep learning and predictive modelling: bridging precision medicine and patient-centered care In: Advances in Neural Information Processing Systems; 2017
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:14:36.931264Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation fd878e63-180a-4736-b51a-0147e9c285ac · outbound
This paper cites Predictive analytics in clinical trials.
Advancing clinical trial outcomes using deep learning and predictive modelling: bridging precision medicine and patient-centered care Predictive analytics in clinical trials
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:14:36.921719Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 0e36a7fb-17a6-41d1-8d7e-3aa15c364789 · outbound
This paper cites AI-driven solutions for clinical trials.
Advancing clinical trial outcomes using deep learning and predictive modelling: bridging precision medicine and patient-centered care AI-driven solutions for clinical trials
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:14:36.912848Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 572cc986-ddf5-4a6f-8c16-30cd09c60f5c · outbound
This paper cites Understanding Graph Databases: A Comprehensive Tutorial and Survey.
Advancing clinical trial outcomes using deep learning and predictive modelling: bridging precision medicine and patient-centered care Understanding Graph Databases: A Comprehensive Tutorial and Survey
Reference 54
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T19:14:36.637372Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation f051484b-dcd4-4e52-8dff-1dc3caca3696 · outbound
This paper cites Artificial intelligence in health care: The hope, the hype, the promise, the peril.
Advancing clinical trial outcomes using deep learning and predictive modelling: bridging precision medicine and patient-centered care Artificial intelligence in health care: The hope, the hype, the promise, the peril
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:14:36.905010Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 99a0e569-07f7-452d-b645-234ce6a51f1c · outbound
This paper cites AI/ML Action Plan for Software as a Medical Device.
Advancing clinical trial outcomes using deep learning and predictive modelling: bridging precision medicine and patient-centered care AI/ML Action Plan for Software as a Medical Device
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:14:36.896192Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Pith citing papers
No inbound Pith citation observations are available.