Peer-reviewed work.

Automated Deauville Score computation from baseline [¹⁸F]FDG PET/CT predicts progression-free survival in multiple myeloma: a radiogenomic framework

Peluso S., Polizzi S., Pagnini L., Tarozzi M., Rocchi E., Dragonetti V., Solli V., Dall’Olio D., Talarico M., Terragna C., Sala C., Zamagni E., Fanti S., Nanni C., Castellani G.

Combining mass spectrometry and machine learning models for predicting Klebsiella pneumoniae antimicrobial resistance: a multicenter experience from clinical isolates in Italy

Rocchi E., Nicitra E., Calvo M., Cento V., Peiretti L., Asif Z., Menchinelli G., Posteraro B., Sala C., Colosimo C., Cricca M., Sambri V., Sanguinetti M., Castellani G., Stefani S.

Impact of whole-brain radiation therapy on neurocognitive functions, alopecia and hearing loss: a systematic review and meta-analysis endorsed by the Palliative Care and Neuro-Oncology Study Groups of the Italian Association of Radiotherapy and Clinical Oncology (AIRO)

Di Franco R., Pezzulla D., Chiesa S., Cellini F., Rocchi E., Peluso S., Maurizi F., Borzillo V., Scipilliti E., Bonzano E., Colombo S., Cacciola A., Mazzola G.C., Bergamaschi L., Lillo S., De Cicco L., Argenone A., Arcidiacono F., Muto P., Deodato F., Pinzi V., Maranzano E.

Radiomic signatures from postprocedural MRI thalamotomy lesion can predict long-term clinical outcome in patients with tremor after MRgFUS: a pilot study

Innocenzi A., Peluso S., Bruno F., Balducci L., Rocchi E., Bellini M., Catalucci A., Sucapane P., Saporito G., Russo T., Castellani G., Pistoia F., Splendiani A.

CATS: a bioinformatic tool for automated Cas9 nucleases activity comparison in clinically relevant contexts

Rocchi E., Magnani F., Castellani G., Carusillo A., Tarozzi M.

Understanding the evolutionary dynamics of Monkeypox virus through less explored pathways

De Pascali A.M., Ingletto L., Brandolini M., Rocchi E., Tarozzi M., Turba M.E., Casadio R., Gentilini F., Gatti G., Dionisi L., Colosimo C., Guerra M., Zannoli S., Dirani G., Montanari M.S., Marzucco A., Grumiro L., Rossini G., Lazzarotto T., Cricca M., Castellani G., Sambri V., Scagliarini A.

Leveraging Neural ODEs for Population Pharmacokinetics of Dalbavancin in Sparse Clinical Data

Giacometti T., Rocchi E., Cojutti P.G., Magnani F., Remondini D., Pea F., Castellani G.

Artificial Intelligence model to predict resistances in Gram-negative bloodstream infections

Bonazzetti C., Rocchi E., Toschi A., Derus N.R., Sala C., Pascale R., Rinaldi M., Campoli C., Pasquini Z.A.I., Tazza B., Amicucci A., Gatti M., Ambretti S., Viale P., Castellani G., Giannella M.

Comparing Heterologous and Homologous COVID-19 Vaccination: A Longitudinal Study of Antibody Decay

Orlandi C., Stefanetti G., Barocci S., Buffi G., Diotallevi A., Rocchi E., Ceccarelli M., Peluso S., Vandini D., Carlotti E., Magnani M., Galluzzi L., Casabianca A.

Letter to the Editor Regarding “The Effect of Hippocampal Avoidance Whole Brain Radiotherapy on the Preservation of Long-Term Neurocognitive Function in Non-Small Cell Lung Cancer Patients with Brain Metastasis”

Pezzulla D., Maurizi F., Rocchi E., Peluso S., De Cicco L., Chiesa S., di Franco R.

New indexes for myofibril linearity in muscle image analysis

Rocchi E., Peluso S., Amatori S., Sisti D.

A New Epidemic Model for the COVID-19 Pandemic: The θ-SI(R)D Model

Rocchi E., Peluso S., Sisti D., Carletti M.

A new regression model for the forecasting of COVID-19 outbreak evolution: an application to Italian data

Sisti D., Rocchi E., Peluso S., Amatori S., Carletti M.

Using Pre-and Posttest Predictive Probabilities to Evaluate Diagnostic Test Is a Confusing Habit

Rocchi E., Peluso S., Sisti D.

A Possible Scenario for the Covid-19 Epidemic, Based on the SI(R) Model

Rocchi E., Peluso S., Sisti D., Carletti M.