Marta Colaneri
Biographic Data
| ID | 8404142 |
|---|---|
| NAME | Marta Colaneri |
| GIVEN NAMES | Marta |
| FAMILY NAME | Colaneri |
| SIGNATURE | COLANERI M |
| AFFILIATIONS | ASST Fatebenefratelli Sacco |
| ORCID | 0000-0002-5939-9576 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Integrating artificial intelligence with genome sequencing against antimicrobial resistance
Antimicrobial resistance (AMR) represents an escalating global health threat, demanding diagnostic strategies capable of rapid, accurate, and comprehensive pathogen characterization. Genomic sequencing has transformed our ability to elucidate resistance mechanisms and track their evolution, yet its routine clinical adoption remains limited by cost, workflow constraints, and extended turnaround times. This narrative review examines how artificial …
The impact of Covid-19 hospitalizations on nursing home admissions
Background: To obtain the rate of admission to nursing homes (NHs) and to evaluate clinical characteristics and mortality rates of patients admitted to NHs after hospitalizations for COVID-19, compared to non-COVID-19 acutely hospitalized patients. Methods: We analyzed administrative data from Lombardy, a Northen Italian region, in individuals aged ≥50 years who were hospitalized and discharged alive in 2018 for acute conditions or, between Febru…
Modelling the Covid-19 epidemic and implementation of population-wide interventions in Italy
No prominent works on this page.
Modelling the Covid-19 epidemic and implementation of population-wide interventions in Italy
The impact of Covid-19 hospitalizations on nursing home admissions
Background: To obtain the rate of admission to nursing homes (NHs) and to evaluate clinical characteristics and mortality rates of patients admitted to NHs after hospitalizations for COVID-19, compared to non-COVID-19 acutely hospitalized patients. Methods: We analyzed administrative data from Lombardy, a Northen Italian region, in individuals aged ≥50 years who were hospitalized and discharged alive in 2018 for acute conditions or, between Febru…
Integrating artificial intelligence with genome sequencing against antimicrobial resistance
Antimicrobial resistance (AMR) represents an escalating global health threat, demanding diagnostic strategies capable of rapid, accurate, and comprehensive pathogen characterization. Genomic sequencing has transformed our ability to elucidate resistance mechanisms and track their evolution, yet its routine clinical adoption remains limited by cost, workflow constraints, and extended turnaround times. This narrative review examines how artificial …
Disease (2 works) · Medicine (2 works) · Pandemic (2 works) · Antibiotic resistance (1 works) · Antibiotic Resistance in Bacteria (1 works) · Bacterial Identification and Susceptibility Testing (1 works) · Case fatality rate (1 works) · Chronic Disease Management Strategies (1 works) · Confidence interval (1 works) · Contact tracing (1 works)