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Correspondent

21 August 2024 at 3:50:16 pm

Paper Towers

The collapse of the Delhi hostel which has left six people dead and several more injured brings into sharp relief the dangerous disconnect between what is sanctioned and what is actually built in Indian cities. The structure was reportedly sanctioned only up to ground-plus-one, yet had grown to five storeys and was being used as a densely occupied student hostel. While the investigation will establish whether the basement alterations, weakened pillars, waterlogging or some other structural...

Paper Towers

The collapse of the Delhi hostel which has left six people dead and several more injured brings into sharp relief the dangerous disconnect between what is sanctioned and what is actually built in Indian cities. The structure was reportedly sanctioned only up to ground-plus-one, yet had grown to five storeys and was being used as a densely occupied student hostel. While the investigation will establish whether the basement alterations, weakened pillars, waterlogging or some other structural failure caused the building to give way, the circumstances already raise a more uncomfortable question: how does a building apparently approved for two floors become a five-storey hostel without the system noticing? Delhi’s student neighbourhoods have developed a voracious market for cheap accommodation, and where demand rises faster than regulated housing, buildings acquire floors, rooms and tenants with remarkable speed. A residential property becomes a paying guest facility; a basement becomes usable space; another floor appears; more beds are squeezed in. The paperwork, if it exists at all, struggles to keep pace with the construction. There is no reason to assume that this is uniquely Delhi’s problem. Pune’s student districts, Bengaluru’s rental corridors, Mumbai’s crowded suburbs and other education and employment hubs face the same pressures. Wherever land is scarce, rents are high and demand for accommodation is relentless, the temptation to build beyond what was sanctioned is immense. The danger is obvious. A building designed for one purpose and a particular structural load cannot indefinitely be treated as a piece of elastic real estate. Adding floors, altering columns, excavating beneath an existing structure or cramming dozens of occupants into a building designed for far fewer people is not renovation. It is gambling with lives. Yet India’s municipal systems too often seem to discover illegal construction only after something has collapsed. The response is then predictable: an FIR, inspections, sealing drives and promises that officials found negligent will be punished. Delhi has already ordered inspections of nearby paying guest accommodations and buildings with fifth floors. Such action is welcome. It is also painfully late. The real test is not how efficiently the authorities clear the rubble. It is whether they can prevent the next building from becoming rubble. The country needs more than inspection drives. It needs municipal bodies capable of knowing what is being built in their jurisdictions, enforcing sanctioned plans before violations become permanent and making officials answerable when obvious breaches are ignored. A city’s housing shortage cannot be solved by allowing unsafe buildings to multiply. Nor can affordable accommodation be secured by making students the unwitting occupants of structural experiments. Satya Niketan has exposed a dangerous gap between the buildings cities need and the buildings their regulations can safely accommodate. If that gap is not closed, the next collapse may simply have a different pin code.

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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