Characterization through a geno-to-pheno and predictive models with Artificial Intelligence app[...]

ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - DIPARTIMENTO DI SCIENZE MEDICHE E CHIRURGICHE

Organisation/Company: ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - DIPARTIMENTO DI SCIENZE MEDICHE E CHIRURGICHE

Research Field: Medical sciences

Researcher Profile: Recognised Researcher (R2), Leading Researcher (R4), First Stage Researcher (R1), Established Researcher (R3)

Country: Italy

Application Deadline: 14 Jan 2025 - 23:59 (UTC)

Type of Contract: To be defined

Job Status: Not Applicable

Is the job funded through the EU Research Framework Programme? Not funded by a EU programme

Is the Job related to staff position within a Research Infrastructure? No

Offer Description

Studies focusing on the integration of clinical, biochemical and genomic features of Klebsiella Pneumoniae (KP) isolates from blood to predict the outcome are scarce. The aim of this project is to find crucial marks among clinical, biochemical, virulent factors able to predict an adverse outcome for patients with BSIs caused by KP. The purpose is the developing of a novel machine learning-based experimental model by integrating clinical, biochemical and antimicrobial susceptibility data with genomic ones.

Activity plan:

1. Enrollment of KP strains from positive blood culture and assessment of antimicrobial susceptibility by phenotypic automated approach (1-2 month)
2. Next Generation Sequencing by Illumina platform and web-based bioinformatic analysis (3-6 month)
3. Machine learning processing using pipeline for antimicrobial resistance, virulence factors and plasmid discovery (6-10 month)
4. Statistical analysis (10-12 month)

Eligibility of fellows: country/ies of residence: All

Eligibility of fellows: nationality/ies: Not specified

Number of offers available: 1

Company/Institute: ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - DIPARTIMENTO DI SCIENZE MEDICHE E CHIRURGICHE

Country: Italy