Eruptions in focus: cefadroxil and the uncommon realm of fixed-drug reactions: a case report

This case report explores a rare case of localized fixed-drug eruption (FDE) induced by cefadroxil, a first-generation cephalosporin. FDE, characterized by recurrent lichenoid lesions at specific sites upon drug exposure, is an immunological cutaneous adverse reaction. The incidence of FDE due to cephalosporins is infrequently reported, making this case noteworthy. We present a 51-year-old male who developed brownish-black patches and painful blisters on his extremities after initiating treatment with Cefadroxil for a minor toe injury. The patient's symptoms, clinical course, and subsequent recovery are detailed. Treatment involved corticosteroids, antibiotics, and topical agents. The report also provides immunological insights into FDE pathogenesis, involving CD8+ memory T cells, cytokine production, and the role of CD4+ regulatory T cells. While the exact pathogenesis of FDE remains elusive, this report sheds light on the mechanisms contributing to the self-limited nature of these eruptions. Causality assessment using the Naranjo algorithm categorized the association between cefadroxil and FDE as probable. This case report contributes to the limited literature on FDE caused by cephalosporins and underscores the importance of recognizing and managing such dermatological reactions. The broader implications of understanding FDE pathogenesis and the rarity of cephalosporin-induced cases provides valuable insights for clinicians and researchers

Brain Cancer Detection using Neuro Fuzzy Logic

This paper presents an approach of computer-aided diagnosis for early prediction of cancer cells in brain. It extracts the texture from the given brain MRI sample.It uses image processing techniques followed by neuro classification for prediction of Cancer for a given MRI sample. A neuro fuzzy approach is used for the recognition of the extracted region. The implementation is observed on various types of MRI images with different types of cancer regions

Reducing the environmental impact of surgery on a global scale: systematic review and co-prioritization with healthcare workers in 132 countries

Abstract Background Healthcare cannot achieve net-zero carbon without addressing operating theatres. The aim of this study was to prioritize feasible interventions to reduce the environmental impact of operating theatres. Methods This study adopted a four-phase Delphi consensus co-prioritization methodology. In phase 1, a systematic review of published interventions and global consultation of perioperative healthcare professionals were used to longlist interventions. In phase 2, iterative thematic analysis consolidated comparable interventions into a shortlist. In phase 3, the shortlist was co-prioritized based on patient and clinician views on acceptability, feasibility, and safety. In phase 4, ranked lists of interventions were presented by their relevance to high-income countries and low–middle-income countries. Results In phase 1, 43 interventions were identified, which had low uptake in practice according to 3042 professionals globally. In phase 2, a shortlist of 15 intervention domains was generated. In phase 3, interventions were deemed acceptable for more than 90 per cent of patients except for reducing general anaesthesia (84 per cent) and re-sterilization of ‘single-use’ consumables (86 per cent). In phase 4, the top three shortlisted interventions for high-income countries were: introducing recycling; reducing use of anaesthetic gases; and appropriate clinical waste processing. In phase 4, the top three shortlisted interventions for low–middle-income countries were: introducing reusable surgical devices; reducing use of consumables; and reducing the use of general anaesthesia. Conclusion This is a step toward environmentally sustainable operating environments with actionable interventions applicable to both high– and low–middle–income countries

Brain Cancer Detection using Neuro Fuzzy Logic

This paper presents an approach of computer-aided diagnosis for early prediction of cancer cells in brain. It extracts the texture from the given brain MRI sample.It uses image processing techniques followed by neuro classification for prediction of Cancer for a given MRI sample. A neuro fuzzy approach is used for the recognition of the extracted region. The implementation is observed on various types of MRI images with different types of cancer regions.</jats:p

Improvised Mask Detection System using Machine Learning

Abstract: Coronavirus disease (COVID-19) has seriously affected the world. By theend of November 2020, the global number of new coronavirus cases had already exceeded 60 million according to information from the World Health Organization (WHO). To stop the spread of disease, face-mask is mandatory in public places. So face mask cover the mouth and nose fully as result virus not going to in our body, So we developed mask detection system. These research monitor the humans are wearing the mask or not</jats:p

A rare case of ruptured intracranial aneurysm arising from the retro-mastoid branch of the occipital artery

Background: Aneurysms of the occipital artery (OA) are rare, with few cases published in the literature. The pathophysiology is unknown, and the presentation is variable. We present a case of a ruptured intracranial aneurysm arising from a branch of the OA. Case Description: A 36-year-old male with a history of ankylosing spondylitis presented with altered mental status after an assaulted. On examination, he was intubated, with a Glasgow coma scale of 9, and imaging of the head and neck revealed a subdural hematoma of the posterior fossa and the cervical spine. The patient underwent suboccipital craniectomy and C1-5 laminectomy with the evacuation of the subdural hematoma. Postoperative cerebral angiography showed an intracranial aneurysm arising from the retromastoid branch of the OA on the left side. Furthermore, the parent vessel of the aneurysm supplied the left lower half of the cerebellar hemisphere. The aneurysm and the parent vessel were embolized using platinum coils. The patient tolerated the procedure well, and magnetic resonance imaging of the brain showed a minor left-sided cerebellar infarct, which was asymptomatic. The patient was discharged home with a modified Rankin scale of 2. There were no outpatient follow-up data available because the patient lost to follow-up. Conclusion: Intracranial OA aneurysms are extremely rare with no clear consensus concerning the management of these aneurysms. They can be treated using endovascular and or open surgical techniques depending on the aneurysm characteristics, patient condition, rupture status, and others. </jats:sec

Room temperature synthesis of titanium dioxide nanoparticles of different phases in water in oil microemulsion

We report the synthesis of crystalline titanium dioxide nanoparticles of two different phases (rutile and anomalous pseudobrookite) at room temperature by a novel microemulsion technique. In this method, one of the reactants (titanium tetrachloride) is dissolved in the continuous organic phase, whereas the second reactant (ammonium hydroxide) is added as an aqueous solution. The site of the reaction has been controlled by using two different addition methods for the second reactant. The size and the crystalline phase of the titanium dioxide nanoparticles varied according to the site of the reaction between the two reactants. Reaction in the aqueous core gives rutile titanium dioxide nanoparticles having an average size of 4.2 nm verified by X-ray diffraction and FTIR. The reaction in the organic phase gives rise to crystalline anomalous pseudobrookite titanium dioxide nanoparticles of much larger size (10-40 nm). This anomalous pseudobrookite structure is thermally unstable and converts to rutile on high temperature treatment