Genome Editing is a process by which alterations are made to the DNA (genetic material) of an organism. These genetic alterations can cause changes in physical traits like hair colour, eye colour, body height, etc. Editing can be done on somatic cells as well as germline cells. This process has manyRead more
Genome Editing is a process by which alterations are made to the DNA (genetic material) of an organism. These genetic alterations can cause changes in physical traits like hair colour, eye colour, body height, etc. Editing can be done on somatic cells as well as germline cells. This process has many prospects for example, it can be used to prevent, treat or cure certain diseases.
Inspite of the benefits this technology offers, there are various ethical issues involved.
Some concerns are:
1) Some arguments say that when germline genome is edited, there is alteration in the genome of embryo at its earliest stages, which may effect every cell. This means that it has an impact not only on the person who may result, but also on his/her descendants.
2) Should people be allowed to use this technology to embrace basic human characteristics like height or skin colour?
3) It is difficult to ensure that people completely understand the risks and benefits involved with altering their genome.
4) The high cost of genome editing may make it available only to the wealthy section of society, thus ensuring fair and equitable access is a big challenge.
5) Genetically engineered humans may feel alienated from themselves or feel a confused identity.
See less
Machine learning (ML) is a subset of artificial intelligence (AI) that involves training algorithms to recognize patterns in data and make predictions or decisions based on that data. The key aspect of ML is that it enables systems to learn and improve from experience without being explicitly prograRead more
Machine learning (ML) is a subset of artificial intelligence (AI) that involves training algorithms to recognize patterns in data and make predictions or decisions based on that data. The key aspect of ML is that it enables systems to learn and improve from experience without being explicitly programmed for every specific task. Here’s a concise overview
Core Concepts of Machine Learning
Applications in Real-World Scenarios
Machine learning is a versatile and powerful tool that is transforming various industries by enabling data-driven decision-making, improving efficiency, and creating new opportunities for innovation.