top of page

By:

Correspondent

23 August 2024 at 4:29:04 pm

Trust Reset

As the recent protests over the NEET paper leak showed, India’s examination system has reached a point where incremental repairs are no longer enough. The appointment of a high-powered task force on examination reforms, headed by technology pioneer Nandan Nilekani, is therefore not merely an administrative response to the NEET-UG paper leak crisis but a concrete attempt to rebuild confidence in one of the country’s most important public institutions. Examinations are gateways to opportunity,...

Trust Reset

As the recent protests over the NEET paper leak showed, India’s examination system has reached a point where incremental repairs are no longer enough. The appointment of a high-powered task force on examination reforms, headed by technology pioneer Nandan Nilekani, is therefore not merely an administrative response to the NEET-UG paper leak crisis but a concrete attempt to rebuild confidence in one of the country’s most important public institutions. Examinations are gateways to opportunity, social mobility and professional ambition. For millions of students across the country, a competitive examination represents years of sacrifice by families and the possibility of a better future. When question papers leak repeatedly, evaluation systems fail or allegations of manipulation emerge, the resulting damage strikes at the idea of fairness itself. The crisis surrounding NEET-UG exposed uncomfortable vulnerabilities in the country’s examination infrastructure. The resignation of Education Minister Dharmendra Pradhan and the subsequent appointment of Pralhad Joshi with additional charge of the ministry underlined the political seriousness of the issue. But political accountability alone cannot fix a structural problem. That is why the composition of the new task force is a move on the right direction. It brings together expertise from technology, space research, intelligence, education administration and logistics. Nilekani’s appointment is particularly significant. The former Infosys chief executive and architect of Aadhaar has experience in building large-scale digital public infrastructure involving hundreds of millions of citizens. The Aadhaar project itself was born out of a similar challenge: how to create a reliable identity system in a country where leakages and duplication weakened welfare delivery. India’s examination system now requires the same kind of thinking. The committee’s mandate to examine the entire examination lifecycle - from question paper creation and distribution to candidate verification, evaluation and results - is the right approach. The problem lies in multiple weak points where human intervention, poor security protocols and outdated processes can create opportunities for malpractice. Technology will inevitably be central to the solution. Artificial intelligence can help detect unusual patterns, blockchain-based verification can strengthen record security and better data systems can improve transparency. But a secure examination system requires independent oversight, professional management, clear accountability and swift punishment for wrongdoing. India’s National Testing Agency was created to bring efficiency and standardisation to public examinations. Its credibility must now be restored through reforms that are visible and trusted by students. The Nilekani task force has been given the difficult job of repairing that trust. The government has chosen a committee led by people with experience of managing complex national systems. It is a sensible first step. The real test will now be whether its recommendations translate into action.

AI in Sperm Sorting: An Unbiased Decision for A Better Outcome

Artificial Intelligence or AI is revolutionising fertility treatments of the future. The inclusion of AI enhances the accuracy, efficiency, and objectivity of sperm selection, hence potentially improving fertility outcomes by leaps and bounds. Traditionally, sperm sorting through manual methods is subjective to judgments. Processes like centrifugation and swim-up methods are used to separate sperm based on motility and morphology. Although they are effective, they have their limitations, leading to human errors that affect the success rates of fertility treatment. For instance, studies have shown that traditional sperm sorting techniques can have variability in success rates, with reported live birth rates ranging between 15 per cent to 25 per cent per cycle depending on the method and quality of sperm. Hence the introduction of AI helps in maintaining consistency in evaluations of sperm, using the same data set for every sample which leads to better judgments.


Automation and Standardisation- Automation of sperm selection and also introduction of AI in the process have improved the results in ART. AI-assisted sperm selection improves the accuracy in choosing high-quality sperm for fertilisation purposes, and also, pregnancy and live birth rates might be improved. Technologies like Intracytoplasmic Morphologically Selected Sperm Injection along with AI ensure the chances of pregnancies increase by about 10-20 per cent compared to the standard procedures. AI and Automation will decrease time taken to analyze sperm and increase opportunities to select better sperm with DNA integrity for better development and higher success rates in embryo selection. These processes ensure that the sperm selection process follows consistent criteria, reducing variability in outcomes caused by human error.


Analysing Complex Data for Better Outcomes- AI plays a crucial in improving IVF outcomes by analysing complex data and providing tailored recommendations. AI-driven tools and models such as those on SpOvum.ai point towards an opportunity to optimise ovarian stimulation decisions by assessing patient characteristics and follicle growth patterns. A study revealed that the use of AI in IVF improved egg yield and reduced medication costs. AI enables fertility specialists to make data-driven choices, improving overall IVF success rates and streamlining treatment processes.


Reducing Human Error- AI models can continuously learn and refine their performance by being trained on newer data. This adaptability ensures the technology remains unbiased and up-to-date with the latest scientific insights into sperm quality and fertility success rates. Studies have shown that AI-driven sperm sorting can decrease human-related errors by up to 25 per cent, improving sperm selection quality in terms of morphology and motility.


Reduction of Sperm Damage- The new AI-driven sperm sorting techniques also include microfluidic systems that are known to exhibit several advantages over the most commonly used conventional method, which is centrifugation. Traditional centrifugation methods, such as density gradient centrifugation, also cause severe oxidative stress and DNA fragmentation of the sperm because of the very high mechanical forces involved. The AI-infused microfluidic sorting minimises this damage significantly by involving gentler processes that mimic the natural pathway of sperm selection. The studies show that the process of microfluidic sorting decreases DNA fragmentation in sperm, which gives improved opportunities for success for IVF. For example, DNA fragmentation is 20 percent lower in sperm sorted using microfluidic processes than in traditional processing methods.


AI is bound to play an increasingly definitive role in fertility treatments, which will improve the outcomes for couples experiencing infertility.


(The author is a Co-Founder & CEO at SpOvum® Technologies. Views personal.)

Comments

bottom of page