Marco Cascella is an expert in Anesthesiology at University of Salerno (Italy). As of October 2026, ScienceLeadR ranks Marco Cascella in the top 1% of experts worldwide for Pain, Artificial Intelligence and Machine Learning. Marco Cascella has authored 374 publications, the most recent in 2026, and is an investigator in 7 clinical trials, 2 of them ongoing. SLR score: 1,316 (community average: 125). How the SLR is computed.

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Marco Cascella University of Salerno Italy
1 316 ScienceLeadR Reputation 1316
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Anesthesiology

Subspecialties: Oncology - Pediatrics - Neurology

Full career – Last 3 years

Main Topics

Publications and Clinical Studies

Publications – Clinical Studies

Profile data updated on

Organizations

Career arc: 2023 - 2026

Source: PubMed

University of Salerno

Publications Synthesis

Sources: PubMed, OpenAlex

Number : 374

Citations

Citations: 9 486 1st author: 103 Last author: 49 Unique author: 34


Breakdown by type

Click a legend label to hide or show it in the chart.

Latest Publications

5 most recent indexed articles

Source: Pubmed

Title Journal Year Citations
When Genomic Scars Outlive Genomic Vulnerability: Dynamic DNA Damage Repair in Cancer Evolution and Therapeutic Resistance.
PMID 42938366 — genomics, cicatrix, neoplasms, biomarkers, therapeutics, dna damage
Genes (Basel)20260
Epidural Adhesiolysis and Dorsal Root Ganglion Pulsed Radiofrequency Through a Single Multifunctional Catheter: A Narrative Review and Illustrated Technical Report.
PMID 42941609 — ganglia, spinal, ganglion cysts, catheters, hyaluronoglucosaminidase
J Clin Med20260
Addressing challenges for virtual reality applications in the ICU.
PMID 42661229 — virtual reality, intensive care units
J Anesth Analg Crit Care20261
Hydromorphone in Pediatric Pain Management: Pharmacology, Clinical Applications, and Safety Considerations-A Narrative Review.
PMID 42512744 — safety, chronic pain, morphine, emergencies, pain, pain management, analgesia, pharmacology, pharmacology, clinical, intensive care units, hydromorphone, child, pediatric anesthesia
Healthcare (Basel)20260
An overview of current and emerging strategies for phantom limb pain.
PMID 42507616 — virtual reality, pain, rehabilitation, research, phantom limb, artificial intelligence, neuralgia
Expert Rev Neurother20260

Clinical Studies 7

Sources: ClinicalTrials, EU CTIS

Synthesis

Principal Investigator: 2

By phase:

N/A 6
Phase 2 1

By status:

Completed 4
Recruiting 2
Active not recruiting 1

By type:

Observational 5
Interventional 2

By Monocentric/Multicentric:

monocentric 4
multicentric2to4 2
multicentric5to9 0
multicentricup10 1

Main Topics

Cohort/Consortium Investigators 2

Ongoing Clinical Trials

2 ongoing trials started since 2021, where this expert is an investigator

Source: ClinicalTrials

Study Phase Status Start
Refining mUltiple Artificial intelliGence strateGies for Automatic Pain Assessment Investigations RUGGI Study
NCT07038434 — thermography, natural language processing, intelligence, language, chronic pain, pain, pain measurement, neoplasms, machine learning, deep learning, facial expression, learning, artificial intelligence, linguistics, stroop test, neuralgia, cancer pain
N/ARecruiting2025
Pain ASsessment in CAncer Patients by Machine LEarning (PASCALE)
NCT04726228 — research design, quality of life, pain, pain measurement, neoplasms, telemedicine, algorithms, machine learning, therapeutics, learning, palliative care, cancer pain, machine learning algorithms
N/ARecruiting2021

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