Augmented Reality Software
Zolak
Our solutions enable furniture retailers to visualize and personalize content about their products using computer vision, augmented and virtual reality technologies
App Boxer Au
App Boxer is a leading app development company specializing in creating custom, cutting-edge mobile applications. With a talented team of developers, designers, and strategists, we deliver exceptional digital solutions tailored to your unique business needs. Expert App Development: Our experienced team of developers leverages the latest technologies and frameworks to build robust and scalable mobile applications for iOS and Android platforms. From conceptualization to deployment, we ensure every aspect of your app exceeds expectations. Customized Solutions: At App Boxer, we understand that each business has distinct requirements. We work closely with our clients to develop tailor-made solutions that align with their goals and objectives. Our collaborative approach ensures your app delivers a seamless user experience and drives tangible results.
Single Cell Omics for CNAS
Recent years have seen the application of single cell omics to the study of cancer, including single-cell genomes, epigenomes, transcriptomes, proteomes, and multi-omics. In the study of cancer evolution, fascinating findings have been made on treatment resistance and the mysteries of the tumor microenvironment. Single-cell genome sequencing has recently been discovered to be extremely useful for the detection of somatic mutations, particularly during the evolution of tumors. DNA copy number abnormalities (CNAS) or an abnormally high number of chromosomes are common in cancer genomes. A discontinuous model of copy number evolution may also be important in other solid tumors, according to preliminary evidence from researchers utilizing single-cell gene sequencing in diseases such prostate, colon, liver, and lung cancer. The clinical diagnosis and management of cancer patients, as well as how evolutionarily we interpret the dynamics of tumor growth, are all significantly affected by this approach. For more: single cell Omics for CNAS