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By:

Correspondent

23 August 2024 at 4:29:04 pm

Deadly Neglect

The deaths of three tribal girls following a snakebite at a residential school in Gadchiroli have cast a distinctly unfavourable light on the standards of care in Maharashtra’s tribal hostels. A total six girls were bitten while sleeping on the floor, raising questions about basic accommodation, preventive measures and the oversight of institutions entrusted with the care of some of Maharashtra’s most disadvantaged children. A properly maintained hostel and basic preventive measures can...

Deadly Neglect

The deaths of three tribal girls following a snakebite at a residential school in Gadchiroli have cast a distinctly unfavourable light on the standards of care in Maharashtra’s tribal hostels. A total six girls were bitten while sleeping on the floor, raising questions about basic accommodation, preventive measures and the oversight of institutions entrusted with the care of some of Maharashtra’s most disadvantaged children. A properly maintained hostel and basic preventive measures can certainly reduce the likelihood that a snakebite becomes a mass casualty event. Residential schools for tribal children exist precisely because many of their students come from remote and disadvantaged communities. The state assumes responsibility for their education, accommodation, food and safety. The inevitable official response of a detailed inquiry into the tragedy is hardly reassuring. The district administration has said it will establish whether adequate protective measures were in place and whether the school management complied with safety rules. The Maharashtra administration has conducted enough inquiries till now to know that the discovery of a lapse is not the same thing as fixing the system that produced it. The questions are elementary. Were sufficient beds available? If not, why not? Was the hostel building properly sealed? Were doors, windows and drains inspected? Was pest and snake control undertaken? Were mosquito nets and other basic protective equipment provided? Was there adequate lighting and night supervision? How frequently had the hostel been inspected? And were funds allocated for these facilities actually spent on them? The last question deserves particular attention. Tribal residential schools have for years been vulnerable to the familiar maladies of public administration, most notably gross corruption. Inadequate oversight, poor maintenance, opaque procurement and the fact that money and food intended for children disappears somewhere between the budget and the beneficiary has become all too common. More crucially, Gadchiroli is not politically ownerless. Chief Minister Devendra Fadnavis is its guardian minister, making the quality of governance in the district an especially important test of the state government’s claims about tribal development. The answer cannot be another round of condolences followed by an inquiry whose findings gather dust. The government should use this tragedy to conduct a comprehensive and independent safety audit of every tribal residential hostel in Gadchiroli, with the findings and corrective measures made public. Beds, sanitation, building maintenance, pest control, emergency medical arrangements and night-time supervision should be treated as measurable standards, not discretionary amenities. Three girls have died in the most appalling manner. The least the state can do is ensure that their deaths expose a failure that is then corrected, rather than an outrage that is briefly mourned and administratively forgotten.

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.)

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