Background: Ultrasonography is a helpful tool for assessing the state of a pregnancy in its early stages. Sonography in the first trimester is important for determining gestational age, determining location, and even discovering some early malformations. Ultrasonography has a high sensitivity for detecting anomalies of the gestional sac, yolk sac, and embryo that indicate a poor outcome, in addition to documenting normal development. Aim of the work:To see if the size of the yolk sac, the size of the gestational sac, and the early embryonic heart rate (EHR) may be used to predict pregnancy outcome. Patients and methods: During the period of January 2021 to June 2021, 200 patients in the outpatient clinic of the obstetrics and gynaecology department of Al-Azhar University hospitals in uncomplicated singleton pregnancy were studied. Results:The median yolk sac diameter in the ongoing pregnancy group was (2.28+1362 mm) at 6 weeks, compared to (1.76+0.652 mm) in the miscarrying group. Size and shape anomalies of the yolk sac can be utilised as an effective predictor of early gestational loss. The mean gestational sac diameter at 6 weeks in a continuing pregnancy (15.73+1.98 mm) versus (13.86+1.96 mm) in the miscarrying group. The mean embryonic heart rate in the continued pregnancy group was (l17.14+8.28) compared to (88.80+15.41) in the miscarrying group at 6 weeks. Conclusion:The results of a first-trimester vaginal ultrasound can be utilised to evaluate pregnancies that have been complicated by a negative obstetric history. Embryonic heart rate; yolk sac diameter; gestational sac diameter.

Many foods have foodborne pathogens, and detection of it, is very important to serve safe supply of food, consequently reduce of foodborne diseases. Nucleic acid base detection method is one of the most rapid widely methods used in the detection of foodborne pathogens, it depends on the hybridizing between target sequence of the nucleic acid and oligonucleotide primers or probes complementary to the specific nucleic acid sequence of the targeted bacteria. Designing primers and probes for this method is a preliminary and critical step‏.‏ however, new bioinformatics tools are needed to automate, specific and improve the design sets to be used in Nucleic Acid base method. Thus, we developed Foodborne Pathogen primer prob design (FBPP), ‎an open-source Python-based application supported with SQL database for foodborne pathogen virulence factor, for (i) ‎ design primer /probe for detection purpose (ii) PCR & Gel electrophoreses Photo simulation (iii) check the specificity of primers / probe.